cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14033304
title: A Unified Multi-Wavelength Data Analysis Workflow with gammapy.
title: Constraining the Broadband Emission of FSRQ OP 313.

description: Repository containing multi-wavelength (MWL) data of the distant quasar OP 313 (z=0.997) taken during the nights of MJD 60373 (3-4 March 2024) and MJD 60384 (14-15 March 2024) using Fermi-LAT, Swift-XRT, Swift-UVOT, and the Liverpool IO:O photometric data.



Directory structure:




Notebooks/DatasetGenerator: Notebooks (one per instrument) that summarize the steps to generate gammapy-compliant 1D and 3D binned datasets.

Notebooks/DatasetAnalysis: Notebooks (one per instrument) to analyse each dataset independently and one notebook to perform the MWL joint analysis.

Helpers: Auxiliary functions to generate native multiplicative models for dust extinction (out of xspec's redden), neutral hydrogen (out of xspec's tbabs), EBL absorption, and utility functions for file handling and plotting.

Models: multiplicative models in tabular format for easy 2d interpolation.

Figures: collection of figures for the paper.


Link: https://github.com/mireianievas/gammapy_mwl_workflow/ 

Based on the original work from https://github.com/luca-giunti/gammapyXray
DOI: 10.5281/zenodo.14263103
title: NortheastChinaSoybeanYield20m: an annual soybean yield dataset at 20 m in Northeast China from 2019 to 2023

description: Accurate monitoring of crop yield is important for ensuring food security. Current yield estimation methods, such as machine learning models or the assimilation of remotely sensed biophysical variables into crop growth models, depend heavily on ground observations and involve significant computational costs. To solve these problems, a hybrid framework coupling the World Food Studies Simulation Model (WOFOST) and the Gated Recurrent Unit model (GRU) was proposed for soybean yield estimation in Northeast China from 2019 to 2023.

This dataset provides 20 m annual soybena yield in Northeast China from 2019 to 2023.

*** The data file is in “.tif" format

*** Temporal Resolution: annually

*** Temporal coverage: 2019-2023

*** Pixel size: 20 m

*** Projection information: EPSG: 4326
DOI: 10.5281/zenodo.14300915
title: Data and Processing Codes for "Future Changes in Winter-Time Extratropical Cyclones over South Africa from CORDEX-CORE Simulations"

description: This repository contains the data and processing codes used in the study "Future Changes in Winter-Time Extratropical Cyclones over South Africa from CORDEX-CORE Simulations," submitted to Earth's Future. The cyclone tracks analyzed in the study were derived using the TRACK algorithm developed by Kevin I. Hodges, which identifies and tracks extratropical cyclones from CORDEX-CORE model outputs.

The repository includes:





Cyclone Tracks:



Original Tracks: Cyclone tracks output directly from the TRACK algorithm.

Processed Tracks: Tracks filtered for wintertime and the South African region, prepared for analysis.





Processing Codes: Python scripts used for pre- and post-processing of the TRACK algorithm outputs. These scripts are designed for:



Extracting relevant cyclone metrics such as frequency, intensity, duration, distance, storm severity, and rainfall.

Aggregating and visualizing cyclone statistics for wintertime in the South African region.

Performing trend analyses under historical and future climate scenarios.





Visualization Scripts: Codes for creating plots and figures presented in the study, including spatial maps and trend analyses of cyclone characteristics.



 

Important Note:The cyclone tracks used in this study are not included in this repository and must be obtained directly from the TRACK algorithm. Please contact Kevin I. Hodges for access to TRACK and further information about its application.

Usage Notes:

    Codes are written in Python 3.9+ and utilize commonly used libraries such as pandas, xarray, numpy, and matplotlib.    The TRACK algorithm is required to replicate the cyclone tracking process.

Keywords: Cyclone tracking, TRACK algorithm, South Africa, CORDEX-CORE, Extratropical cyclones, Climate change, Python
DOI: 10.5281/zenodo.3991672
title: Database of Last Interglacial (MIS 5e) sea-level proxies on tropical Pacific islands

description: A standardized database of Marine Isotopic Stage 5e sea-level proxies on tropical Pacific islands
DOI: 10.5281/zenodo.4442396
title: Paramagnetic tailored experiments for the NMR investigation of reduced and oxidized [2Fe-2S]-mitoNEET

description: We report here the complete data sets and the pulse programs for the NMR spectra of the human iron sulfur binding protein mitoNEET, in its oxidized and reduced states. These data have been used in the publication “The long-standing relationship between Paramagnetic NMR and Iron-Sulfur proteins: the mitoNEET example. An old method for new stories or the other way around?”. This folder includes: paramagnetic 1D proton NOE experiments, <sup>15</sup>N-IR-HSQC-AP experiments and CON <sup>13</sup>C direct detection experiments in their diamagnetic and paramagnetic version. All these data have been used to identify NMR signals of residues surrounding the metal cofactor. Along with the raw data we report also the pulse programs of the paramagnetic tailored experiments. The NMR spectra of both oxidation states of mitoNEET are significantly different from those reported for previously investigated [Fe<sub>2</sub>S<sub>2</sub>]<sup>2+/+</sup> proteins and provide a detailed description of the unique electronic properties of mitoNEET, that is essential for the understanding of its the biological function.
DOI: 10.5281/zenodo.4459259
title: Kittel et al. (2021), The Cryosphere : MAR and ESMs data

description: Outputs used in: <em>Kittel, C., Amory, C., Agosta, C., Jourdain, N. C., Hofer, S., Delhasse, A., Doutreloup, S., Huot, P.-V., Lang, C., Fichefet, T., and Fettweis, X.: Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet, The Cryosphere https://doi.org/10.5194/tc-2020-291,2021.</em> MAR outputs with yearly values of SMB and components over the Antarctic ice sheet (1980--2100) Grid file used in MAR simulations ESM and GCM yearly near-surface temperature over 1960--2100 (as downloaded from the ESGF nodes) <br> Associated daily datasets:<br> MAR(ACCESS1.3): 10.5281/zenodo.4525735<br> MAR(NorESM1-M): 10.5281/zenodo.4528998<br> MAR(CESM2): 10.5281/zenodo.4529002<br> MAR(CNRM-CM6-1): 10.5281/zenodo.4529004<br> <br> <br> If you need other variables or output frequencies from MAR, write me (c2kittel@gmail.com) and I will be glad to help you. I will also be happy to share the scripts I have developed to analyse the outputs and make the figures in this paper if needed. Please cite the paper if you use these MAR outputs.<br> <br> Data usage notice: If you use any of these results, please acknowledge the work of the people involved in producing them. Acknowledgements should have language similar to the below that contained both informations related to MAR and CMIP5/6. In order to document MAR scientific impact and enable ongoing support of the model, users are likely encouraged to contact C. Kittel to add their works in the list of MAR-related publications. "We thank C. Kittel and the MAR team which make available the model outputs, as well agencies (F.R.S - FNRS, CÉCI, and the Walloon Region) that provided computational resources for MAR simulations. We acknowledge the World Climate Research Programme, which, through it's Working Group on Coupled Modelling, coordinated and promoted CMIP5 and CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the CMIP data and providing access, and the multiple funding agencies who support CMIP5 and CMIP6 and ESGF. " You should also refer to and cite the following paper: Kittel, C., Amory, C., Agosta, C., Jourdain, N. C., Hofer, S., Delhasse, A., Doutreloup, S., Huot, P.-V., Lang, C., Fichefet, T., and Fettweis, X.: Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2020-291, accepted, 2020.
description: {"references": ["Kittel, C., Amory, C., Agosta, C., Jourdain, N. C., Hofer, S., Delhasse, A., Doutreloup, S., Huot, P.-V., Lang, C., Fichefet, T., and Fettweis, X.: Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2020-291, in review, 2020."]}
DOI: 10.5281/zenodo.5758744
title: Data for "On the difference of aerosol hygroscopicity between high and low RH conditions in the North China Plain"

description: Data for "Measurement Report: On the difference of aerosol hygroscopicity between high and low RH conditions in the North China PlainMeasurement Report: On the difference of aerosol hygroscopicity between high and low RH conditions in the North China Plain"
DOI: 10.5281/zenodo.7649034
title: Electron microscopy of particles collected by different techniques from field measurements in the Moroccan Sahara during FRAGMENT 2019

description: An intensive field campaign between 4-30 September 2019 was conducted at a major source region on the edge of the Saharan desert in Morocco (29.83 °N 5.87 °W) in the context of the FRontiers in dust minerAloGical coMposition and its Effects upoN climaTe (FRAGMENT) project. Samples were collected with three different sampling techniques, namely: flat-plate sampler (FPS), free-wing impactor (FWI), and a micro-orifice uniform deposit impactor (MOUDI). Substrates in the MOUDI and FWI were collected two times a day with a typical sampling duration of a few minutes to avoid overloading the substrate for individual particle analysis. For the flat-plate sampler, the average exposure time was half a day. Here we present dataset of the elemental composition and morphology of more than 300,000 freshly emitted individual particles by performing offline analysis in the laboratory using Scanning Electron Microscopy (SEM) coupled with Energy-Dispersive X-ray Spectrometry (EDX).
DOI: 10.5281/zenodo.7731449
title: A source code of NICAM.19 for aerosol simulations with a global 14-km grid resolution

description: The source code is able to calculate global aerosol distributions with a 14-km grid spacing and used in the simulations shown in the following manuscript: Goto, D., Seiki, T., Suzuki, K., Yashiro, H., Takemura, T.: Impacts of cloud microphysics schemes on aerosol fields in NICAM.19 with a global 14-km grid resolution, submitted to Geosci. Model Dev.
DOI: 10.5281/zenodo.8189718
title: Atmospheric and Coupled Model inter-comparison Study

description: This repository contains software tools, model output datasets and plotting scripts that used for evaluations and figures presented in the study.
DOI: 10.5281/zenodo.8208638
title: Aerodynamic model comparison for an X-shaped vertical-axis wind turbine

description: This repository can be used to reproduce the power, thrust, blade forces, and vertical induction from the journal paper 'Aerodynamic model comparison for an X-shaped vertical-axis wind turbine (https://doi.org/10.5194/wes-2023-115)'. The processing and plotting files are in MATLAB format (*.m). As an alternative to MATLAB, Octave can be used to run these files as well.
DOI: 10.5285/18ef8247f52a4cb6a14013f8235cc1eb
title: University of Leicester GOSAT Proxy XCH4 v9.0

description: The University of Leicester GOSAT Proxy XCH4 v9.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach. This data is an NCEO funded update/extension to the European Space Agency Climate Change Initiative (CCI) CH4_GOS_OCPR V7.0. and the Copernicus Climate Change Service (C3S) CH_4 v7.2 data sets. It's a full reprocessing, based on different underlying L1B radiance data with additional changes. The latest version of the GOSAT Level 1B files (version 210.210) was acquired directly from the National Institute for Environmental Studies (NIES) GOSAT Data Archive Service (GDAS) Data Server and are processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. These measured radiances have the recommended radiometric calibration and degradation corrections applied as per Yoshida et al., 2013 with an estimate of the spectral noise derived from the standard deviation of the out-of-band signal. The spectral data were then inputted into the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed. See process information and documentation for further details.
DOI: 10.5285/569d53fb-9b90-47a6-b3ca-26306e696706
title: UK Antarctic Meterological Surface Data

description: Station Dates Available Adelaide 1962 to 1976 Deception 1959 to 1967 Faraday 1947 to 1995 Fossil 1961 to 2005 Grytviken 1959 to 1981 Halley 1957 to 2013 Rothera 1976 to 2013 Signy 1956 to 2000
description: Surface meteorological data collected at British Antarctic Survey stations in Antarctica. The following meteorological parameters are included in the files: Sea Level Pressure (hPa), Station Level Pressure (hPa), Temperature (Deg C), Wind Speed (knots), Wind Direction (Degrees). Observations were recorded every 3 or six hours for the first part of the record and then at hourly intervals in the later part when electronic measuring systems were introduced in the 1980’s and 1990’s.
DOI: 10.5285/58f00d8814064b79a0c49662ad3af537
title: ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Pixel product, version 5.1

description: The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. These MODIS Fire_cci v5.1 pixel products are distributed as 6 continental tiles and are based upon data from the MODIS instrument onboard the TERRA satellite at 250m resolution for the period 2001-2017.  This product is an update to the MODIS v5.0 product.

The Fire_cci v5.1 Pixel product described here includes maps at 0.00224573-degrees (approx. 250m) resolution. Burned area(BA) information includes 3 individual files, packed in a compressed tar.gz file: date of BA detection (labelled JD), the confidence level (CL, a probability value estimating the confidence that a pixel is actually burned), and the land cover (LC) information as defined in the Land_Cover_cci v2.0.7 product.

Files are in GeoTIFF format using a geographic coordinate system based on the World Geodetic System (WGS84) reference ellipsoid and using Plate Carrée projection with geographical coordinates of equal pixel size. For further information on the product and its format see the Fire_cci Product User Guide in the linked documentation. 

To receive updates on the products and information on new datasets, users are encouraged to register with the Fire_cci project at https://geogra.uah.es/fire_cci/.
DOI: 10.5285/aa57e879-4cca-28b6-e053-6c86abc02de5
title: Atlantic meridional overturning circulation observed by the RAPID-MOCHA-WBTS (RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series) array at 26N from 2004 to 2018 (v2018.2).

description: The RAPID-MOCHA-WBTS (RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series) programme has produced a continuous time series of the Atlantic Meridional Overturning Circulation (AMOC) at 26N that started in April 2004. This release of the time series covers the period from April 2004 to Sept 2018, but differs from the previous release by using a different latitude for the Ekman transport. The 26N AMOC time series is derived from measurements of temperature, salinity, pressure and water velocity from an array of moored instruments that extend from the east coast of the Bahamas to the continental shelf off Africa east of the Canary Islands. The AMOC calculation also uses estimates of the transport in the Florida Strait derived from sub-sea cable measurements calibrated by regular hydrographic cruises. The component of the AMOC associated with the wind driven Ekman layer is derived from satellite scatterometer measurements. This release of the data includes a document with a brief description of the calculation of the AMOC time series and references to more detailed description in published papers. The 26N AMOC time series and the data from the moored array are curated by the British Oceanographic Data Centre (BODC). The RAPID-MOCHA-WBTS programme is a joint effort between NERC in the UK (Principle Investigator Eleanor Frajka-Williams since 2020, David Smeed 2012 to 2020, and Stuart Cunningham from 2004 to 2012), NOAA (PIs Molly Baringer and Denis Volkov) and NSF (PI Prof. Bill Johns, Uni. Miami) in the USA.
DOI: 10.5519/qd.mxym39wx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (49386 records)
DOI: 10.6084/m9.figshare.12839570.v1
title: Deriving_BrC_Revised.zip

description: Dataset for the manuscript "Effects of black carbon morphology on the brown carbon absorption estimation: from numerical aspects " by Luo et al.
DOI: 10.6084/m9.figshare.27940608
title: <b>Ontogeny of energy use in harvester ant colonies, and the metabolic expense of colony growth</b>

description: In animals, metabolic rates often scale differently during ontogeny than in cross-species or population comparisons, with near-isometric scaling patterns more often observed during juvenile growth. In multiple social insect taxa, colony metabolic rate scales hypometrically across species or populations at the same developmental stage, but metabolic patterns during ontogeny have not been examined for any social insect species. We performed the first ontogenetic study of social metabolic scaling in harvester ant colonies (<i>Pogonomyrmex californicus</i>) over 3.5 years as they grew from 5212 to 767380 workers. Our data reveal iso- and hypermetric metabolic scaling during the first 20 months of growth, transitioning to hypometric scaling (scaling exponent = 0.93) thereafter. We discovered that the fraction of colony as brood has dual effects on colonial metabolic rate. A higher fraction of the colony that is brood decreases colonial metabolic rate because brood has approximately half the mass-specific metabolic rates of adult ants. Conversely, metabolic and activity of adult ants increase as this fraction increases. We further developed a non-linear composition model, which shows that the maximal colony metabolic rate occurs when 29% of the colony mass is brood, suggesting that demographic changes and colony size may interact to drive the metabolic scaling.
DOI: 10.6084/m9.figshare.28218092
title: Supplementary Material for: Hearing Loss as a Risk Factor for Dementia: A Nationwide 15-Year Follow-Up Cohort Study in Taiwan

description: Introduction: Although hearing loss is associated with dementia, the exact causal relationship between hearing loss and dementia remains unclear. Early detection and prevention of hearing loss are essential. In this study, data from the National Health Insurance Research Database (NHIRD) of Taiwan were used to monitor patients with hearing loss for 15 years to determine whether hearing loss leads to dementia.
Methods: This retrospective matched-cohort study involved 208,570 individuals, divided into 41,714 patients with hearing loss and 166,856 controls matched by sex, age, and chronic diseases. Cox regression analysis was conducted on data obtained from the NHIRD for the period 2000–2015 to determine the hazard ratio (HR) associated with dementia.
Results: The percentage of patients with hearing loss who developed dementia was higher than that of the control group (18.67% vs. 14.10%). The onset age of dementia was younger in the hearing loss group (69.95 vs. 70.31 years, p = 0.001). Middle-aged individuals (45–65 years) with hearing loss were more likely to develop dementia compared with those without hearing loss (48.53% vs. 47.94%, p = 0.03). Compared with the controls, the patients with hearing loss were more likely to develop hyperlipidemia and stroke. In the patients with hearing loss, the adjusted HRs for Alzheimer’s disease (AD), vascular dementia, and other types of dementia were significant. The patients were followed up for an average of 7.82 years. Compared with the controls, the patients with hearing loss exhibited a shorter mean time to dementia onset (5.21 vs. 5.49 years, p &lt; 0.001).
Conclusion: Hearing loss may increase the risks of AD, dementia, hyperlipidemia, and stroke. Therefore, health-care providers should closely monitor cardiovascular complications in patients with hearing loss.
DOI: 10.6084/m9.figshare.28220375
title: Supplementary Material for: Perfusion image-aided treatment decision for acute ischemic stroke: validation of a clinical decision support system

description: Introduction: Our collaborative team has previously developed a prognostic model for acute ischemic stroke (AIS). This model, known as the clinical decision support system (CDSS), aims to provide personalized assistance to clinicians in making treatment decisions and improving patient prognosis. The objective of this study was to externally validate the model using Chinese AIS patients. 
Methods: All enrolled patients arrived at the hospital within 24 hours after stroke onset. The primary outcome was the likelihood of a favorable functional outcome, which was defined as a modified Rankin Scale (mRS) &lt; 2 at 90 days. The model's predictive performance was evaluated by assessing its discriminative power (area under the curve, AUC) and calibration power (Hosmer-Lemeshow goodness-of-fit test, Brier score).
Results: In the validation cohort of 298 patients, the model demonstrated a moderate discriminatory ability to predict a favorable functional outcome (mRS 0-1), with an AUC of 0.805 (95% CI, 0.756-0.849). The calibration performance of the model was assessed using the Hosmer-Lemeshow chi-squared test, yielding a value of 9.211 and a p-value of 0.325 additionally, the Brier score for the prediction of a good outcome was 0.153, further supporting the model's good calibration performance.
Conclusion: The study introduces the CDSS that integrates clinical baseline data and imaging indicators of brain perfusion status. This CDSS provides clinicians with an intuitive risk assessment of different treatment strategies for AIS patients. Moreover, the CDSS highlights substantial variations in treatment outcomes among patients, suggesting that it has the potential to significantly enhance personalized treatment approaches.