cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3663065
title: Database (3/5) for manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa'

description: ******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ****************************************************************************************************************************************************** These datasets are parts of the database for the manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa' by Dembélé et al. It contains parts of the input datasets used to calibrate and run the hydrological model. Check the main database at https://doi.org/10.5281/zenodo.3662308 For further information, please contact Moctar Dembélé, mocdembele@gmail.com
DOI: 10.5281/zenodo.3663064
title: Database (3/5) for manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa'

description: ******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ****************************************************************************************************************************************************** These datasets are parts of the database for the manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa' by Dembélé et al. It contains parts of the input datasets used to calibrate and run the hydrological model. Check the main database at https://doi.org/10.5281/zenodo.3662308 For further information, please contact Moctar Dembélé, mocdembele@gmail.com
DOI: 10.6084/m9.figshare.13241267
title: Rebamipide Suppress Indomethacin-Induced Small Intestinal Damage by Modulation of Small Intestinal Microbiota

description: <b>Rebamipide Suppress Indomethacin-Induced Small Intestinal Damage by Modulation of Small Intestinal Microbiota<br></b>
DOI: 10.6084/m9.figshare.12459734.v1
title: Dataset #1 LUSC Significant

description: Dataset #1 LUSC Significant Datasets
DOI: 10.6084/m9.figshare.12459734
title: Dataset #1 LUSC Significant

description: Dataset #1 LUSC Significant Datasets
DOI: 10.5281/zenodo.3663069
title: Database (4/5) for manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa'

description: ******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ****************************************************************************************************************************************************** These datasets are parts of the database for the manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa' by Dembélé et al. It contains parts of the output datasets used to calibrate and run the hydrological model. Folders: -inputAnalysis contains the results and the files of the analysis of the model inputs using the MATLAB software. -combiMeteoAnalysis contains the results and the files of the analysis of the model outputs using the MATLAB software. -WFDEI contains the model outputs when using the input data from the WFDEI dataset. Check the main database at https://doi.org/10.5281/zenodo.3662308 For further information, please contact Moctar Dembélé, mocdembele@gmail.com
DOI: 10.5281/zenodo.3663068
title: Database (4/5) for manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa'

description: ******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ****************************************************************************************************************************************************** These datasets are parts of the database for the manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa' by Dembélé et al. It contains parts of the output datasets used to calibrate and run the hydrological model. Folders: -inputAnalysis contains the results and the files of the analysis of the model inputs using the MATLAB software. -combiMeteoAnalysis contains the results and the files of the analysis of the model outputs using the MATLAB software. -WFDEI contains the model outputs when using the input data from the WFDEI dataset. Check the main database at https://doi.org/10.5281/zenodo.3662308 For further information, please contact Moctar Dembélé, mocdembele@gmail.com
DOI: 10.5281/zenodo.3663071
title: Database (5/5) for manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa'

description: ******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ****************************************************************************************************************************************************** These datasets are parts of the database for the manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa' by Dembélé et al. It contains parts of the output datasets used to calibrate and run the hydrological model. The folders contains the model outputs when using the input data from different data providers, i.e., ERA5, EWEMBI, JRA55, MERRA, PGF. Check the main database at https://doi.org/10.5281/zenodo.3662308 For further information, please contact Moctar Dembélé, mocdembele@gmail.com
DOI: 10.5281/zenodo.3663070
title: Database (5/5) for manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa'

description: ******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ****************************************************************************************************************************************************** These datasets are parts of the database for the manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa' by Dembélé et al. It contains parts of the output datasets used to calibrate and run the hydrological model. The folders contains the model outputs when using the input data from different data providers, i.e., ERA5, EWEMBI, JRA55, MERRA, PGF. Check the main database at https://doi.org/10.5281/zenodo.3662308 For further information, please contact Moctar Dembélé, mocdembele@gmail.com
DOI: 10.6084/m9.figshare.12459728
title: Dataset #1 LUSC Complete

description: Dataset #1 LUSC Complete Datasets
DOI: 10.6084/m9.figshare.12459728.v1
title: Dataset #1 LUSC Complete

description: Dataset #1 LUSC Complete Datasets
DOI: 10.5281/zenodo.4275724
title: EXAMON data from Marconi HPC system

description: Partial snapshot of the data collected by EXAMON on the Marconi supercomputer (hosted at CINECA, Bologna, Italy) in the following periods: January 2020 May 2020 This data has been gathered and analyzed by Massimo Schembri during his internship at University of Bologna
DOI: 10.17897/znkg-k687
title: GeoBasis Zackenberg - Meteorology - M4_30min

description: "M4 is located on a well drained Cassiope heath, about 150 meters north of the 'Climate station' (operated by ClimateBasis). In 2009 NDVI sensors were installed and data recorded every 30 min. In 2014 temperature probes were installed in different depths in the soil. This data is also recorded every 30 min. Thus, the 30 min file contains data from 2009 to present. Data was recorded in a CR10x Campbel scientifix data logger until June 2014, where the data logger was changed to a CR1000. " Meteorology:Meteorology GeoBasis Zackenberg:The GeoBasis monitoring programme focuses on selected abiotic characteristics in order to describe the state of Greenlandic terrestrial environments and their potential feedback effects in a changing climate. Monitored plot data is up-scaled to a landscape level and is used to improve ecosystem models to be able to quantify these feedback mechanisms. The GeoBasis programme provides an active response to recommendations in international assessments such as ACIA and SWIPA; and is continuously being adapted based on AMAP and other international founded recommendations. Furthermore, the GeoBasis programme is directly involved in several international networks and research projects (e.g. the Circumpolar Active Layer Monitoring (CALM) programme, the Nordic Centre of Excellence DEFROST, the Danish Centre of Excellence CENPERM, the EU-projects PAGE21 and INTERACT, and the Arctic Research Centre at Aarhus University). The GeoBasis programme is divided into a number of sub-groups, including:
DOI: 10.7284/138619
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK200110 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138620
title: Expendable Probe data collected during research cruise FK200110 using a Turo Quoll instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138621
title: Fluorometer data collected during research cruise FK200110 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138622
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK200110 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138623
title: Gyrocompass data collected during research cruise FK200110 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138615
title: INS (Inertial Navigation System) data collected during research cruise FK200110 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138618
title: INS (Inertial Navigation System) data collected during research cruise FK200110 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138624
title: INS (Inertial Navigation System) data collected during research cruise FK200110 using a Kongsberg Seapath 320 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138625
title: Magnetometer data collected during research cruise FK200110 using a Marine Magnetics SeaSPY2 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138616
title: Meteorological Station data collected during research cruise FK200110 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138617
title: Meteorological Station data collected during research cruise FK200110 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138626
title: Meteorological Station data collected during research cruise FK200110 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138611
title: Multibeam Echosounder data collected during research cruise FK200110 using a Kongsberg EM710 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138627
title: Multibeam Echosounder data collected during research cruise FK200110 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138628
title: Multibeam Echosounder data collected during research cruise FK200110 using a Kongsberg EM710 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138632
title: Multibeam Echosounder data collected during research cruise FK200110 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138613
title: pH data collected during research cruise FK200110 using a SUNBURST SAMI-pH instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138612
title: Radiometer data collected during research cruise FK200110 using a Eppley RAD instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138633
title: Radiometer data collected during research cruise FK200110 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138634
title: Radiometer data collected during research cruise FK200110 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138614
title: Speedlog data collected during research cruise FK200110 using a SKIPPER EML244 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138630
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK200110 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138631
title: TSG (Thermosalinograph) data collected during research cruise FK200110 using a Sea-Bird SBE-45 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.13241534
title: Supplementary Material for: Socio-Environmental, Lifestyle, Behavioural, and Psychological Determinants of Biological Ageing: The Singapore Longitudinal Ageing Study

description: <b><i>Introduction:</i></b> The identification of modifiable health span-promoting factors is a public health priority. <b><i>Objective:</i></b> To explore the socio-environmental, lifestyle, behavioural, and psychological determinants of a clinical phenotypic measure of biological ageing in the Singapore Longitudinal Ageing Study (SLAS) cohort. <b><i>Methods:</i></b> Using cross-sectional data on 2,844 SLAS-2 adults with a chronological age (CA) ≥55 years, we estimated biological age (BA) using a validated panel of clinical, biochemical, physiological, and functional indicators (8 in men and 10 in women) and calculated the difference between BA and CA (BA – CA in years). Potential determinants included education, housing status, loss of a spouse, living alone, lifestyle and health activity, smoking, alcohol consumption, nutritional risks, consumption of milk, soy, fruit, vegetables, coffee and tea, sleep parameters, and life satisfaction. <b><i>Results:</i></b> The mean CA was 67.0 (standard deviation [SD] 7.9; range 55–94) years. The estimated BA varied more widely (SD 8.9 years; range 47.5–119.9 years), and BA – CA ranged from –11.3 to 30.0 years. In stepwise selection regression analyses, multiple significant independent determinants in a final model were larger for private housing, being single/divorced/widowed, productivity, cognitive and leisure time activity scores, 10 h/week of moderate-to-vigorous physical activity, unintended loss of weight, life satisfaction, and daily consumption of fruits 1–2 or ≥3 servings and Chinese tea 1–2 or ≥3 cups daily, together explaining 16% of BA – CA variance in men and 14% in women. Associated BA – CA estimates were highest in men with high-end housing status (–1.8 years, effect size 0.015) and unintended weight loss (1.5 years, effect size 0.017). <b><i>Conclusion:</i></b> We identified determinants of biological ageing which can promote health span.
DOI: 10.5281/zenodo.4019710
title: Grammatical category and the neural processing of phrases - EEG data

description: EEG data presented in the paper Grammar, lexical category and the neural processing of phrases Amelia Burroughs, Nina Kazanina, Conor Houghton abstract: <br> The interlocking roles of lexical, syntactic and semantic processing in language comprehension has been the subject of longstanding debate. Recently, the cortical response to a frequency-tagged linguistic stimulus has been shown to track the rate of phrase and sentence, as well as syllable, presentation. This could be interpreted as evidence for the hierarchical processing of speech, or as a response to the repetition of grammatical category. To examine the extent to which hierarchical structure plays a role in language processing we record EEG from human participants as they listen to isochronous streams of monosyllabic words. Comparing responses to sequences in which grammatical category is strictly alternating and chosen such that two-word phrases can be grammatically constructed - cold food loud room - or is absent - rough give ill tell - showed cortical entrainment at the two-word phrase rate was only present in the grammatical condition. Thus, grammatical category repetition alone does not yield entertainment at higher level than a word. On the other hand, cortical entrainment was reduced for the mixed-phrase condition that contained two-word phrases but no grammatical category repetition - that word send less - which is not what would be expected if the measured entrainment reflected purely abstract hierarchical syntactic units. Our results support a model in which word-level grammatical category information is required to build larger units. _______________________________ all the corresponding code is at github.com/conorhoughton/NeuralProcessingOfPhrases
description: The code used to analyse this data is at https://github.com/conorhoughton/NeuralProcessingOfPhrases
DOI: 10.6084/m9.figshare.13119974.v1
title: Can GDP measurement be further improved? Data revision and reconciliation

description: Recent years have seen many attempts to combine expenditure-side estimates of U.S. real output (GDE) growth with income-side estimates (GDI) to improve estimates of real GDP growth. We show how to incorporate information from multiple releases of noisy data to provide more precise estimates while avoiding some of the identifying assumptions required in earlier work. This relies on a new insight: using multiple data releases allows us to distinguish news and noise measurement errors in situations where a single vintage does not. We find that (a) the data prefer averaging across multiple releases instead of discarding early releases in favour of later ones, and (b) that initial estimates of GDI are quite informative. Our new measure, <i>GDP</i><sup>++</sup>, undergoes smaller revisions and tracks expenditure measures of GDP growth more closely than either the simple average of the expenditure and income measures published by the BEA or the GDP growth measure of Aruoba et al. (2016) published by the Federal Reserve Bank of Philadelphia.
DOI: 10.5281/zenodo.4275743
title: Characteristics of Jupiter's X-ray auroral hot spot emissions using Chandra

description: The data used in Weigt et al., study <em>"Characteristics of Jupiter's X-ray auroral hot spot emissions using Chandra"</em>. The README.pdf explains what data is used to produce each Figure in the article with links to the Chandra archive and scripts used for the polar plots.