cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24619203
title: Supplementary Material for: Association between impaired renal function and subclinical myocardial dysfunction in patients with heart failure with preserved ejection fraction: assessment using noninvasive pressure-strain loop

description: Purpose: To evaluate the abnormal myocardial function in HFpEF patients with renal dysfunction and investigate the relationship between renal function and myocardial mechanical characteristics in patients with HFpEF. Methods:134 patients with HFpEF and 32 control subjects were enrolled in our study. Clinical and echocardiography data were collected for offline analysis. Global work index(GWI), global constructive work(GCW), global waste work(GWW), and global work efficiency(GWE) were measured after non-invasive pressure strain loop analysis. Univariate and multivariate analyses were used to determine the correlation between renal function and myocardial function in patients with HFpEF. Results: In comparison to control subjects, patients with HFpEF tend to have higher GWW(78[50-115] vs 108[65-160] mmHg%, P&lt;0.05) and lower GWE(96[95-97] vs 95[92-96] %, P&lt;0.05) while LVEF(65.5±3.3 vs 64.3±4.6 %, P&lt;0.05) were comparable between them. Besides, increased GWW(86[58-152] vs 125[94-187] mmHg%, P&lt;0.05) and decreased GWE(96[93-97] vs 94[92-96] %, P&lt;0.05) were detected in patients with renal dysfunction compared to those with normal renal function. An independent correlation was found between eGFR and GWW after multivariate analysis. Conclusions: The more severely impaired myocardial function was detected in HFpEF patients with renal dysfunction compared to those with normal renal function. eGFR was independently correlated to GWW in patients with HFpEF.
DOI: 10.6084/m9.figshare.24619203.v1
title: Supplementary Material for: Association between impaired renal function and subclinical myocardial dysfunction in patients with heart failure with preserved ejection fraction: assessment using noninvasive pressure-strain loop

description: Purpose: To evaluate the abnormal myocardial function in HFpEF patients with renal dysfunction and investigate the relationship between renal function and myocardial mechanical characteristics in patients with HFpEF. Methods:134 patients with HFpEF and 32 control subjects were enrolled in our study. Clinical and echocardiography data were collected for offline analysis. Global work index(GWI), global constructive work(GCW), global waste work(GWW), and global work efficiency(GWE) were measured after non-invasive pressure strain loop analysis. Univariate and multivariate analyses were used to determine the correlation between renal function and myocardial function in patients with HFpEF. Results: In comparison to control subjects, patients with HFpEF tend to have higher GWW(78[50-115] vs 108[65-160] mmHg%, P&lt;0.05) and lower GWE(96[95-97] vs 95[92-96] %, P&lt;0.05) while LVEF(65.5±3.3 vs 64.3±4.6 %, P&lt;0.05) were comparable between them. Besides, increased GWW(86[58-152] vs 125[94-187] mmHg%, P&lt;0.05) and decreased GWE(96[93-97] vs 94[92-96] %, P&lt;0.05) were detected in patients with renal dysfunction compared to those with normal renal function. An independent correlation was found between eGFR and GWW after multivariate analysis. Conclusions: The more severely impaired myocardial function was detected in HFpEF patients with renal dysfunction compared to those with normal renal function. eGFR was independently correlated to GWW in patients with HFpEF.
DOI: 10.6084/m9.figshare.24324541.v1
title: Stabilizing non-iridium active sites by non-stoichiometric oxide for acidic water oxidation at high current density

description: Stabilizing active sites of non-iridium-based oxygen evolution reaction (OER) electrocatalysts is crucial, but remains a big challenge for hydrogen production by acidic water splitting. Here, we report that non-stoichiometric Ti oxides (TiOx) can safeguard the Ru sites through structural-confinement and charge-redistribution, thereby extending the catalyst lifetime in acid by 10 orders of magnitude longer compared to that of the stoichiometric one (Ru/TiO2). By exploiting the redox interaction-engaged strategy, the in situ growth of TiOx on Ti foam and the loading of Ru nanoparticles are realized in one step. The as-synthesized binder-free Ru/TiOx catalyst exhibits low OER overpotentials of 174 and 265 mV at 10 and 500 mA cm-2, respectively. Experimental characterizations and theoretical calculations confirm that TiOx stabilizes the Ru active center, enabling operation at 10 mA cm-2 for over 37 days. This work opens an avenue of using non-stoichiometric compounds as stable and active materials for energy technologies
DOI: 10.6084/m9.figshare.24324541
title: Stabilizing non-iridium active sites by non-stoichiometric oxide for acidic water oxidation at high current density

description: Stabilizing active sites of non-iridium-based oxygen evolution reaction (OER) electrocatalysts is crucial, but remains a big challenge for hydrogen production by acidic water splitting. Here, we report that non-stoichiometric Ti oxides (TiOx) can safeguard the Ru sites through structural-confinement and charge-redistribution, thereby extending the catalyst lifetime in acid by 10 orders of magnitude longer compared to that of the stoichiometric one (Ru/TiO2). By exploiting the redox interaction-engaged strategy, the in situ growth of TiOx on Ti foam and the loading of Ru nanoparticles are realized in one step. The as-synthesized binder-free Ru/TiOx catalyst exhibits low OER overpotentials of 174 and 265 mV at 10 and 500 mA cm-2, respectively. Experimental characterizations and theoretical calculations confirm that TiOx stabilizes the Ru active center, enabling operation at 10 mA cm-2 for over 37 days. This work opens an avenue of using non-stoichiometric compounds as stable and active materials for energy technologies
DOI: 10.5281/zenodo.10158632
title: Tsunami Observation Points Database in Eastern Mediterranean

description: Knowledge of the tsunami observation points of past tsunamis is of great importance since it may help in studies of several kinds such as understanding better of the source type, determination of the inundation area and verification of tsunami simulation results.  
Plenty of information is available about the Tsunami Observation Points (TOPs) of many historical and modern tsunamis observed in Greece and in other areas of the eastern Mediterranean region. The TOPs Database is a systematic compilation of such kind of information. For a specific tsunami event the TOPs DB includes the source epicenter, the TOPs names and the corresponding geographical coordinates, names of the localities and a characterization of the tsunami intensity level, K, in each TOP. K has been estimated according to the 12-grade tsunami intensity scale by Papadopoulos and Imamura (2001).  
In its current form the TOPs DB provides information about 61 TOPs related to the 9 July 1956 large seismic tsunami generated in the south Aegean Sea. Information about the TOPs and the impact of the wave in each TOP can be found in the publications by Galanopoulos (1957), Ambraseys (1960), Papadopoulos et al. (2005) and Okal et al. (2009). The tsunami intensities have been estimated by Dr G.A. Papadopoulos and Dr I. Triantafyllou. Earthquake source parameters have been adopted from the ISC-GEM (2023) catalogue.  
The TOPs DB will be gradually expanded with the aim to finally include all the known tsunami events to have occurred in Greece and in other eastern Mediterranean regions in modern and historical times. 
description: References
Ambraseys, N.N., 1960. The seismic sea-wave of July 1956 in the Greek Archipelago. Journal Geophysical Research, 65 (4), 1257-1265.
Galanopoulos, A. G., 1957.  The seismic sea-wave of 9 July 1956. Praktika Academy Athens, 32, 90-101 (in Greek with Engl. abstr.). 
Okal, E. A., Synolakis, C. E., Uslu, B., Kalligeris, N., Voukouvalas, E., 2009. The 1956 earthquake and tsunami in Amorgos, Greece. Geophysical Journal International 178, 1533-1554. 
Papadopoulos, G. A., Imamura, F., 2001. A proposal for a new tsunami intensity scale. Proc. Internat. Tsunami Symposium 2001, Seattle, 7-10 August 2001, 569-577.
Papadopoulos, G.A, F. Imamura, K. Minoura, T. Takahashi, S. Karakatsanis, A. Fokaefs, K. Orfanogiannaki, E. Daskalaki, G. Diakogianni, 2005. The 9 July 1956 large tsunami in the South Aegean Sea: compilation of a data basis and re-evaluation. In: G. A. Papadopoulos & K. Satake (Eds.), Proc. 22nd Internat. IUGG Tsunami Symposium, Chania, 27-29 June, 2005, 173-180. 
description: The contribution by Prof. F. Imamura, Prof. K. Minoura, K., Prof. T. Takahashi, MSc A. Fokaefs, Dr. K. Orfanogiannaki, MSc. E. Daskalaki and MSc G. Diakogianni is acknowledged.
DOI: 10.5281/zenodo.10174025
title: Taxonomy database for DeGeCI - without docker

description: Janusgraph database for taxonomy graph used for taxonomic filtering in DeGeCI (requires no use of docker)
DOI: 10.5281/zenodo.10174026
title: Taxonomy database for DeGeCI - without docker

description: Janusgraph database for taxonomy graph used for taxonomic filtering in DeGeCI (requires no use of docker)
DOI: 10.6084/m9.figshare.24465997.v2
title: CO<sub>2</sub> emissions from inland waters in Yangtze River Basin

description: This dataset mainly supports paper “ <b>Weakening anthropogenic effect leads to a significant decline in carbon dioxide emissions from inland waters of the Yangtze River Basin</b>”
DOI: 10.5281/zenodo.8186845
title: IRIDIA-AF, a large paroxysmal atrial fibrillation long-term electrocardiogram monitoring database

description: Abstract
Atrial fibrillation (AF) is the most common sustained heart arrhythmia in adults. Holter monitoring, a long-term 2-lead electrocardiogram (ECG), is a key tool available to cardiologists for AF diagnosis. Machine learning (ML) and deep learning (DL) models have shown great capacity to automatically detect AF in ECG and their use as medical decision support tool is growing. Training these models rely on a few open and annotated databases. We present a new Holter monitoring database from patients with paroxysmal AF with 167 records from 152 patients, acquired from an outpatient cardiology clinic from 2006 to 2017 in Belgium. AF episodes were manually annotated and reviewed by an expert cardiologist and a specialist cardiac nurse. Records last from 19 hours up to 95 hours, divided into 24-hour files. In total, it represents 24 million seconds of annotated Holter monitoring, sampled at 200 Hz. This dataset aims at expanding the available options for researchers and offers a valuable resource for advancing ML and DL use in the field of cardiac arrhythmia diagnosis.
Article
https://www.nature.com/articles/s41597-023-02621-1
Repository
https://github.com/cedricgilon/iridia-af
Versions history

2023-10-04: v1.0.1 – remove hidden files from .zip archive
2023-07-26: v1.0.0 – initial release
Keywords
Paroxysmal Atrial Fibrillation, AF, long-term electrocardiogram, ECG, Holter monitoring, Database, Dataset, IRIDIA, IRIDIA-AF
DOI: 10.5281/zenodo.8186846
title: IRIDIA-AF, a large paroxysmal atrial fibrillation long-term electrocardiogram monitoring database

description: Atrial fibrillation (AF) is the most common sustained heart arrhythmia in adults. Holter monitoring, a long-term 2-lead electrocardiogram (ECG), is a key tool available to cardiologists for AF diagnosis. Machine learning (ML) and deep learning (DL) models have shown great capacity to automatically detect AF in ECG and their use as medical decision support tool is growing. Training these models rely on a few open and annotated databases. We present a new Holter monitoring database from patients with paroxysmal AF with 167 records from 152 patients, acquired from an outpatient cardiology clinic from 2006 to 2017 in Belgium. AF episodes were manually annotated and reviewed by an expert cardiologist and a specialist cardiac nurse. Records last from 19 hours up to 95 hours, divided into 24-hour files. In total, it represents 24 million seconds of annotated Holter monitoring, sampled at 200 Hz. This dataset aims at expanding the available options for researchers and offers a valuable resource for advancing ML and DL use in the field of cardiac arrhythmia diagnosis.
DOI: 10.5281/zenodo.8405941
title: IRIDIA-AF, a large paroxysmal atrial fibrillation long-term electrocardiogram monitoring database

description: Abstract
Atrial fibrillation (AF) is the most common sustained heart arrhythmia in adults. Holter monitoring, a long-term 2-lead electrocardiogram (ECG), is a key tool available to cardiologists for AF diagnosis. Machine learning (ML) and deep learning (DL) models have shown great capacity to automatically detect AF in ECG and their use as medical decision support tool is growing. Training these models rely on a few open and annotated databases. We present a new Holter monitoring database from patients with paroxysmal AF with 167 records from 152 patients, acquired from an outpatient cardiology clinic from 2006 to 2017 in Belgium. AF episodes were manually annotated and reviewed by an expert cardiologist and a specialist cardiac nurse. Records last from 19 hours up to 95 hours, divided into 24-hour files. In total, it represents 24 million seconds of annotated Holter monitoring, sampled at 200 Hz. This dataset aims at expanding the available options for researchers and offers a valuable resource for advancing ML and DL use in the field of cardiac arrhythmia diagnosis.
Article
https://www.nature.com/articles/s41597-023-02621-1
Repository
https://github.com/cedricgilon/iridia-af
Versions history

2023-10-04: v1.0.1 – remove hidden files from .zip archive
2023-07-26: v1.0.0 – initial release
Keywords
Paroxysmal Atrial Fibrillation, AF, long-term electrocardiogram, ECG, Holter monitoring, Database, Dataset, IRIDIA, IRIDIA-AF
DOI: 10.22008/fk2/kyvuzq/m2piqz
title: STL_Near Top Fjerritslev_twt_250x250mGrid_1xsm_geus2023.dat

description: :unav
DOI: 10.22008/fk2/kyvuzq/6swfio
title: STL_Top Intra Oddesund sst. beds_twt_250x250Grid_1xsm_geus2023.dat

description: :unav
DOI: 10.22008/fk2/kyvuzq/lli4z4
title: STL_Base Chalk_twt_250x250mGrid_1xsm_geus2023.dat

description: :unav
DOI: 10.22008/fk2/kyvuzq/hikkqv
title: Readme-1.pdf

description: :unav
DOI: 10.22008/fk2/kyvuzq/tuxwlb
title: STL_Top Gassum_twt_250x250mGrid_1xsm_geus2023.dat

description: :unav
DOI: 10.22008/fk2/kyvuzq/rdacaj
title: STL_Top Bunter Sst._2023_twt_250x250mGrid_1xsm_geus2023.dat

description: :unav
DOI: 10.22008/fk2/kyvuzq/vujozf
title: STL_Base Gassum_twt_250x250mGrid_1xsm_geus2023.dat

description: :unav
DOI: 10.22008/fk2/kyvuzq/mbmlgn
title: GEUS_Terms_of_Delivery_20230919.pdf

description: :unav
DOI: 10.22008/fk2/kyvuzq
title: Two-Way Time (TWT) grids from the Stenlille project

description: GEUS’ gridded interpretations in two-way time of the Stenlille structure from the CCS2022–2024 project. The grids in two-way time from key seismic horizons of this folder are based on 2D seismic data acquired in 2022 (the GEUS2022-STENLILLE survey) and legacy seismic data and published as of date: November 20th, 2023. The work is finalized and reported in a published GEUS report (see reference with link below) and the grids of key interpretations are provided for reference of the initial maturation of the structure. The seismic interpreted grids are made in Petrel (2022 version) in two-way time (negative values as standard of Petrel), with a grid size of 250 X 250 meter, smoothed (1 Iiteration: ‘1xsm’ in filename), and exported from Petrel (Zmap+) as .dat (ASCII) files. GEUS disclaims any responsibility of the grids, their exactness as well as the applicability of the data to the customer’s purpose. Any use of the interpretations from this folder are not the responsibility of GEUS.
DOI: 10.22008/fk2/kyvuzq/nyiyxe
title: STL_Top Zechstein_2023_twt_250x250mGrid_1xsm_geus2023.dat

description: :unav
DOI: 10.5281/zenodo.5703811
title: Precipitation oxygen isoscape for mainland China from 1870 to 2017 generated based on data fusion and bias correction of iGCMs simulations

description: The dataset includes the stable oxygen isotope of precipitation for mainland China over the 1870-2017 period. The temporal and spatial resolutions are month and 50-60 km for the isoscape, respectively. Since the observation is limited and climate model simulations have various time periods, the long time period was constructed by using various methods and datasets. (1) For the 1979-2001 period, eight simulations from five iGCMs (CAM2, GISS E, HadAM3, LMDZ4, and MIROC32) were fused with observations by using CNN fusion method. (2) For the 2002-2007 period, six simulations from three iGCMs (GISS E, LMDZ4, and MIROC32) were fused by using CNN fusion method. (3) For the 1969-1978 period, four simulations from three iGCMs (CAM2, GISS E, and HadAM3) were fused by using CNN fusion method. (4) For the 1958-1968 period, two iGCM simulations (CAM2 and HadAM3) were corrected by using two BCMs, and ensemble mean (mean of four simulations) was then calculated. (5) For the 1870-1957 and 2008-2017 periods, one iGCM simulation (HadAM3 for 1870-1957 and LMDZ4 zoomed for 2008-2017) was corrected by using two BCMs, and ensemble mean (mean of two simulations) was then calculated. When using this dataset, it should be noted that that δ<sup>18</sup>O<sub>p</sub> for the 1979-2007 period generated using CNN fusion method may be more reliable, because the performance comparison for BCMs and DFMs show that CNN fusion method performed better than BCMs, and more iGCM simulations were used for data fusion in this period that other periods.
description: Associated data to generate the isoscape can be obtained as followed. The GNIP data can be obtained from the GNIP Database of IAEA/WMO (https://nucleus.iaea.org/wiser). The TNIP data was derived from the National Tibetan Plateau Data Center (DOI: 10.11888/Geogra.tpdc.270940). The iGCM data can be downloaded from SWING2 (accessible at https://data.giss.nasa.gov/swing2/), where LMDZ4 zoomed data was provided by Dr. Camille Risi at Laboratoire de Météorologie Dynamique in France.
DOI: 10.5281/zenodo.5703810
title: Precipitation oxygen isoscape for mainland China from 1870 to 2017 generated based on data fusion and bias correction of iGCMs simulations

description: The dataset includes the stable oxygen isotope of precipitation for the mainland of China over the 1870-2017 period, at a spatial resolution of 50-60 km and a monthly temporal resolution. In order to make full use of observations to integrate the advantages of various iGCMs, the combination of data fusion and bias correction methods are used. Some physical-based ancillary data are introduced in the fusion methods, including elevation and meteorological data, to enrich the climate and terrain information in the process of data fusion. Specifically,
(1) for the 1979-2001 period, nine simulations from six iGCMs (CAM2, GISS E, HadAM3, IsoGSM2, LMDZ4, and MIROC32) and ancillary data are fused with observations by using the CNN fusion method;
(2) for the 2002-2007 period, seven simulations from four iGCMs (GISS E, IsoGSM2, LMDZ4, and MIROC32) and ancillary data are fused by using the CNN fusion method;
(3) for the 1969-1978 period, four simulations from three iGCMs (CAM2, GISS E, and HadAM3) and ancillary data are fused by using the CNN fusion method;
(4) for the 1958-1968 and 2008-2017 periods, two iGCM simulations (CAM2 and HadAM3 for 1958-1968 and IsoGSM2 and LMDZ4 zoomed for 2008-2017) are corrected by using two BCMs, and ensemble mean (mean of four simulations) is then calculated;
(5) for the 1870-1957 period, one iGCM simulation (HadAM3) is corrected by using two BCMs, and the ensemble mean (mean of two simulations) is then calculated.
Compared with the existing iGCMs, the isoscape has high quality and stability for a large region in China at the monthly scale. However, it should be noted that the isoscape may be more reliable for the common periods of most iGCMs (1969-2007), but mediocre for other periods. 
description: Associated data to generate the isoscape can be obtained as followed. The GNIP data can be obtained from the GNIP Database of IAEA/WMO (https://nucleus.iaea.org/wiser). The TNIP data was derived from the National Tibetan Plateau Data Center (DOI: 10.11888/Geogra.tpdc.270940). The iGCM data can be downloaded from SWING2 (accessible at https://data.giss.nasa.gov/swing2/). The zoomed LMDZ4 simulations used the HPC resources of IDRIS under the allocation 0292 made by GENCI. The isoGSM simulations can be obtained from Chiang et al. (https://doi.org/10.1073/pnas.1922602117).
DOI: 10.5281/zenodo.7306199
title: Precipitation oxygen isoscape for mainland China from 1870 to 2017 generated based on data fusion and bias correction of iGCMs simulations

description: The dataset includes the stable oxygen isotope of precipitation for the mainland of China over the 1870-2017 period, at a spatial resolution of 50-60 km and a monthly temporal resolution. In order to make full use of observations to integrate the advantages of various iGCMs, the combination of data fusion and bias correction methods are used. Some physical-based ancillary data are introduced in the fusion methods, including elevation and meteorological data, to enrich the climate and terrain information in the process of data fusion. Specifically,
(1) for the 1979-2001 period, nine simulations from six iGCMs (CAM2, GISS E, HadAM3, IsoGSM2, LMDZ4, and MIROC32) and ancillary data are fused with observations by using the CNN fusion method;
(2) for the 2002-2007 period, seven simulations from four iGCMs (GISS E, IsoGSM2, LMDZ4, and MIROC32) and ancillary data are fused by using the CNN fusion method;
(3) for the 1969-1978 period, four simulations from three iGCMs (CAM2, GISS E, and HadAM3) and ancillary data are fused by using the CNN fusion method;
(4) for the 1958-1968 and 2008-2017 periods, two iGCM simulations (CAM2 and HadAM3 for 1958-1968 and IsoGSM2 and LMDZ4 zoomed for 2008-2017) are corrected by using two BCMs, and ensemble mean (mean of four simulations) is then calculated;
(5) for the 1870-1957 period, one iGCM simulation (HadAM3) is corrected by using two BCMs, and the ensemble mean (mean of two simulations) is then calculated.
Compared with the existing iGCMs, the isoscape has high quality and stability for a large region in China at the monthly scale. However, it should be noted that the isoscape may be more reliable for the common periods of most iGCMs (1969-2007), but mediocre for other periods. 
description: Associated data to generate the isoscape can be obtained as followed. The GNIP data can be obtained from the GNIP Database of IAEA/WMO (https://nucleus.iaea.org/wiser). The TNIP data was derived from the National Tibetan Plateau Data Center (DOI: 10.11888/Geogra.tpdc.270940). The iGCM data can be downloaded from SWING2 (accessible at https://data.giss.nasa.gov/swing2/). The zoomed LMDZ4 simulations used the HPC resources of IDRIS under the allocation 0292 made by GENCI. The isoGSM simulations can be obtained from Chiang et al. (https://doi.org/10.1073/pnas.1922602117).
DOI: 10.25345/c5r786065
title: MassIVE MSV000093470 - Targeted LC-MS data of beetle gut extracts
title: These data present a targeted LC-MS measurement of gut extracts from C. alternans. Various sugars, amino acids, and B vitamins have been targeted in symbiotic and aposymbiotic specimen.
DOI: 10.25919/1fwy-r875
title: Parkes observations for project PX500 semester 2023OCTS_01

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.