cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28225991
title: Supplementary Material for: Understanding the growing burden of Malignant Pleural Effusion – epidemiology, health care utilization and cost, a Canadian perspective

description: Introduction: Malignant Pleural Effusion (MPE) is common in advanced malignancy. Data are needed on health care utilization and costs. 
Methods: This population-based retrospective cohort study included patients aged ≥18 years with an MPE diagnosed between January 1, 2004 and December 31, 2018. We described the incidence and prevalence of MPE from 2004 to 2018, and trends in hospital admissions, emergency department (ED) visits, and pleural-based procedures. In patients diagnosed with MPE from 2006 to 2016 we estimated 2-year health care costs (2018 US dollars) from the public payer perspective.
Results: The annual incidence and prevalence of MPE increased from 5,090 and 14,579 in 2004 to 6,977 and 23,204 in 2018, respectively. Annual mortality among prevalent patients decreased from 32% to 28%. In 2004, 57% of patients were hospitalized, decreasing to 50% in 2018. ED visits increased (59% to 61%). From 2004 to 2018, the number of patients who had insertions of thoracostomy tube (2,211 to 3,664) and tunnelled pleural catheter (383 to 1,164) increased. The number of patients receiving pleurodesis declined (565 to 284). No change occurred in the number of patients receiving video-assisted thoracoscopy (range 140 – 208/year). Between 2004 and 2016, 76,190 patients were diagnosed with MPE (mean age 71.2; 52% female). The median (interquartile range) health care cost during follow-up was $45,641 ($23,237-$86,700), with $19,753 ($9,590-$38,746) for inpatient hospitalization. 
Conclusion: Hospitalization and temporizing MPE procedures are associated with high costs. This population-based study may guide clinicians and policy makers to improve MPE management and reduce health care costs.
DOI: 10.6084/m9.figshare.28228937
title: Supplementary Material for: Usefulness of radiomics and kidney volume based on non-enhanced computed tomography in chronic kidney disease - initial report

description: Introduction: Chronic kidney disease (CKD) is classified according to the estimated glomerular filtration rate (eGFR), but kidney volume (KV) can also provide meaningful information. Very few radiomics (RDX) studies on CKD have used computed tomography (CT). This study aimed to determine whether non-enhanced computed tomography-based (NECT) RDX can be useful in evaluation of patients with CKD and to compare it with KV. 
Methods: The NECT scans of 64 subjects with impaired kidney function classified based on &lt; 60 ml/min/1,73 m2 and 60 with normal kidney function as controls were retrospectively analyzed. Kidney segmentation, volume measurements and RDX features extraction were performed. Machine learning models (RDX) were constructed to classify the kidneys as having structural markers of impaired or normal function. 
Results: The median KV in the impaired kidney function group was 114.83 mL vs 159.43 mL (p &lt; 0.001) in the control group. There was a statistically significant strong positive correlation between KV and eGFR (rs = 0.579, p &lt; 0.001), and a strong negative correlation between KV and serum creatinine level (rs = -0.514, p &lt; 0.001). The KV-based models achieved the best area under the curve (AUC) of 0.746, whereas the RDX-based models achieved the best AUC of 0.878. 
Conclusions: RDX can be useful in identifying patients with impaired kidney function on NECT. RDX-based models perform better than KV-based models. RDX has the potential to identify patients with a higher risk of CKD based on imaging, which, as we believe, can indirectly assist in clinical decision-making.
DOI: 10.15138/53g1-x417
title: Earth System Research Laboratory Carbon Cycle and Greenhouse Gases Group Flask-Air Sample Measurements of N2O at Global and Regional Background Sites, 1967-Present

description: The CCGG cooperative air sampling network effort began in 1967 at Niwot Ridge, Colorado. Today, the network is an international effort which includes regular discrete samples from the NOAA ESRL/GML baseline observatories, cooperative fixed sites, and commercial ships. Air samples are collected approximately weekly from a globally distributed network of sites. Samples are analyzed for Carbon Dioxide (CO2), Methane (CH4), Carbon Monoxide (CO), Hydrogen Gas (H2), Nitrous Oxide (N2O), and Sulfur Hexafluoride (SF6); and by INSTAAR for the stable isotopes of CO2 and CH4 and for many volatile organic compounds (VOC) such as ethane (C2H6), ethylene (C2H4) and propane (C3H8). Measurement data are used to identify long-term trends, seasonal variability, and spatial distribution of carbon cycle gases.
DOI: 10.15139/s3/ha571w
title: Vision Zero Columbus: Drive Safe. Walk Safe. Bike Safe. (2021) Columbus, Ohio

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.1594/pangaea.93131
title: Physical oceanography at station POS212/2-CTD-804_017
DOI: 10.17632/x4z47fts6x.1
title: Alkenone content and radiocarbon age in globally distributed grain-size fractions

description: Alkenone concentration and radiocarbon age in 7 gobally-distributed surface sediment samples and their associated grain-size fractions. Total organic carbon (TOC) and fractional abundance of grain-size fractions from bulk sediments (Bulk%) are taken from Ausín et al. (2021). Analytical precision of Uk'37 is 0.003 units. Uk'37-SST propagated error is ±0.51℃.
These parameters were measured to explore the influence of alkenone-mineral associations and hydrodynamic mineral sorting processes on alkenone proxy signals.
Bulk sediment samples were fractionated into four grain-size fractions (sand (>300-63 µm); coarse silt (63-10 µm); fine silt (10-2 µm); and clay (< 2 µm) prior to lipid extraction and manual column chromatography to obtain a ketone fraction containing the alkenones. The concentration and distribution of C37 alkenones was analyzed using gas chromatography with flame ionization detection (GC-FID) at the Biogeoscience Group Laboratories, ETH Zürich in 2018. The ketone fractions used for determination of alkenone concentration and unsaturation were further purified for compound specific radiocarbon analysis following Ohkouchi et al. (2005). Samples, were measured as CO2 using an Elemental-Analyzer system interface coupled to a gas ion source (GIS)-equipped Minicarbon Dating System (MICADAS) at the Laboratory of Ion Beam Physics, ETH Zürich in 2018.

References
Ausín, B., Bruni, E., Haghipour, N., Welte, C., Bernasconi, S. M., & Eglinton, T. I. Controls on the abundance, provenance and age of organic carbon buried in continental margin sediments. Earth and Planetary Science Letters, 558, 116759, https://doi.org/10.1016/j.epsl.2021.116759, 2021.
Ohkouchi, N., Xu, L., Reddy, C. M., Montluon, D., & linton, T. I. Radiocarbon dating of alkenones from marine sediments: I. Isolation Protocol Radiocarbon, 47, 401-412, doi:10.1017/S0033822200035189, 2005.
DOI: 10.18739/a2hh6c69v
title: Underway O2/Ar (Oxygen/Argon) and oxygen data collected on a research cruise on the vessel Ocean Starr, Bering, Chukchi, and Beaufort Seas, Arctic Ocean, 2019.

description: Data were collected between August 1, 2019 and August 24, 2019 using an equilibrated inlet mass spectrometer (EIMS, Cassar et al. 2009) connected to the surface uncontaminated seawater supply (which had a nominal intake depth of 3.5 meters) of Ocean Starr on leg 1 of Cruise identifier (ID) OS1901. Data were collected near-continuously over the cruise track which departed from Dutch Harbor, Alaska (AK) and sampled waters of the Bering and Chukchi Sea, ending in Nome, AK. This was a part of the Arctic Integrated Ecosystem Survey (Arctic IES) program. The objective of Arctic IES is to understand how reductions in Arctic sea ice and the associated changes in the physical environment influence the flow of energy through the ecosystems of the Chukchi and Beaufort seas. Two research expeditions in the Beaufort and Chukchi seas during late summer and early fall 2017 and 2019 were designed to address this objective. This survey takes measurements of the: 1) physical environment (temperature, salinity, nutrients); 2) seasonal composition, distribution and production of phytoplankton (plants); 3) distribution and standing stocks of zooplankton (bird, whale, and fish food); 4) assemblages, distributions, abundances, size, diet, and fitness of larval, early juvenile, and adult fishes; and 5) distribution and relative abundances of seabirds and marine mammals. The measurements here contribute to characterizing both the chemical environment and the rate of net biological oxygen production.
DOI: 10.21947/2179225
title: OC6 Project Phase IV: Validation of Numerical Models for Novel Floating Offshore Wind Support Structures

description: The fourth phase of the Offshore Code Comparison, Collaboration, Continued, with Correlation and unCertainty (OC6) aims to assess the ability of the tools to model a novel floating wind design. The design that was selected for this project is the TetraSpar designed by Stiesdal Offshore Technologies. The platform is a unique design that features a spar like stability with a very low center of gravity, but does not require deep-water ports. This combination is achieved with a system made of two separate steel structures, a hull at the water’s surface that supports the wind turbine tower, and a keel that is suspended below the main body. This lower keel has a very high density and drives the total platform’s low center of gravity. Scaled model tests of the TetraSpar design were performed in 2018-2019 by the University of Maine. The tests were performed with 1:43 Froude scaling. The data collected in the model tests provide a detailed description of the response of the platform in various controlled and relatively well understood conditions. Comparison with these data provides a good opportunity for validation of numerical models. The OC6 Phase IV work will focus on the specific parameters used in these scaled model tests. The load cases (LC) considered in this project are as follows: LC 1.X - Equilibrium and Static Offset Tests LC 2.X - Platform Free Decays LC 3.X - Turbine Thrust (Wind Only) LC 4.X - Regular and Irregular Waves (Wave only) LC 5.X - Combined Wind and Wave Loading
DOI: 10.25921/9qth-2p70
title: NOAA Global Surface Temperature Dataset, Version 5
title: NOAA Global Temp, v5
DOI: 10.5067/atlas/atl15.001
title: ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change, Version 1
DOI: 10.5067/caliop/calipso/cal_lid_l2_pscmask-prov-v1-11
title: CALIPSO Lidar Level 2 Polar Stratospheric Clouds (PSC) Mask, Provisional V1-11
DOI: 10.5067/modis/mod04_3k.061
title: MODIS/Terra Aerosol 5-Min L2 Swath 3km
DOI: 10.5255/ukda-sn-852949
title: 1851 England and Wales Census registration counties
DOI: 10.5281/zenodo.10156265
title: Solid-state $^{13}$C-NMR spectroscopic determination of sidechain mobilities in zirconium-based metal-organic frameworks

description: This Dataset contains the raw data contained in the figures of our journal article in Magnetic Resonance: https://doi.org/10.5194/mr-2023-13.
DOI: 10.5281/zenodo.10581415
title: QUASR: the QUAsisymmetric Stellarator Repository

description: This is a dataset of approximately 200,000 vacuum field stellarators along with the electromagnetic coils that generate them.  The devices in the database are available in a couple of formats (SIMSOPT, VMEC) useful to the stellarator community.

 

 typo in uploads v1, v2: the 'total_coil_length' and 'coil_length_per_hp' keys in dataframe should read 'total_coil_length_threshold' and ''coil_length_threshold_per_hp'', i.e., the maximum allowable coil length and maximum allowable coil length per half period, respectively.

v2 (January 29, 2024): additional QA devices added. 

v1 (October 29, 2023): initial upload.
DOI: 10.5281/zenodo.13317583
title: QUADCOIL Validation Dataset

description: This dataset contains the a prototype and the validation data for the stellarator coil optimization code QUADCOIL. Please extract and see readme.md for instructions to reproduce.
DOI: 10.5281/zenodo.13770048
title: AddressGB Manual Evaluation Sample

description: Random sample of 7,200 manually geo-coded I-CeM addresses. The sample comprises 1,000 addresses from each England and Wales census (1851, 1861, 1881, 1891, 1901, and 1911) and 200 addresses from each Scottish census (1851, 1861, 1871, 1881, 1891, and 1901).

Addresses have been linked to two sources of geo-coded address data: GB1900 and OS Open Roads.

GB1900 contains transcriptions of text labels from the Second Edition County Series six-inch-to-one-mile maps covering the whole of Great Britain, published by the Ordnance Survey between 1888 and 1914. To obtain GB1900 dataset, visit the GB1900 website.

OS Open Roads is the Ordnance Survey's Open access modern road vector data. To obtain the OS Open Roads dataset, visit the OS Website.
DOI: 10.5281/zenodo.13868241
title: A dataset of physicochemical water parameters from Lima and Douro estuaries (Northwest Portugal)

description: This dataset provides physicochemical water data collected during five sampling campaigns at two temperate North Atlantic estuaries, the Lima and Douro, in northern Portugal, between 2021 and 2022. The dataset is described in the Data in Brief article “Physicochemical dataset from Lima and Douro estuaries (Northwest Portugal)”.  It includes: a) in-situ vertical profiles of water parameters (temperature, salinity, pH, turbidity, dissolved oxygen), acquired with a multiparameter probe along the water column, from the surface to the bottom, at 8 stations in the Lima estuary (during ebb and flood tides) and 11 stations in the Douro estuary (during flood tide); and b) chemical analyses of nutrients, chlorophyll a, total particulate matter, particulate organic matter, and metal concentrations from 5 representative stations in each estuary. Additional dissolved metal data are provided for the Lima estuary.
DOI: 10.5281/zenodo.14040043
title: Files
DOI: 10.5281/zenodo.14193059
title: Datasets associated with paper "Five decades of Abramov glacier dynamics reconstructed with multi-sensor optical remote sensing", by Enrico Mattea et al.

description: This archive contains Digital Elevation Models and orthoimages produced within the study  "Five decades of Abramov glacier dynamics reconstructed with multi-sensor optical remote sensing", published on The Cryosphere by Enrico Mattea et al.

Assets include derivative products of SPOT satellite scenes, acquired by CNES’s Spot World Heritage Programme, and of Pléiades ©CNES 2015, 2020, 2022, Distribution AIRBUS DS.
DOI: 10.5281/zenodo.4715669
title: Soil temperature series in Vallon de Nant catchment, Switzerland

description: Soil temperature has been recorded continuously at 4 sites in the Vallon de Nant, Switzerland, from July 21st, 2009 to November 16th, 2018. The elevation of the sites ranges between 1240 and 2640 m asl. All plots are on calcareous bedrock. Dominant species are:<br> T1: montane forest dominated by Fagus sylvatica and Abies alba in overstorey, Sanicula europaea and Oxalis acetosella in understorey.<br> T2: mesohygrophilous, subalpine pasture dominated by Carex ferruginea and Alchemilla vulgaris.<br> T3: lower alpine, mesophilous grassland, dominated by Festuca melanopsis, Sesleria caerulea and Carex ferruginea.<br> T4: upper alpine grassland, dominaed by Salix herbacea, Salix retusa and Polygonum viviparum. Measures are realized every hour using a temperature logger GeoPrecision M-Log5W (GeoPrecision GmbH, Ettlingen, Germany) with an accuracy of +/- 0.1°C @0°C. For more information see http://www.geoprecision.com/en/ Description of files:<br> - coordinates.csv: elevation and geographic coordinates (in WGS84 and CH1903) of the sites, start and end date of each time series and number of missing points.<br> - coordinates.xlsx: same file in xlsx format.<br> - data.csv: timeline (in dd/mm/yyy HH/MM format) and time series of temperatures (in °C) at the 4 sites.<br> - data.xlsx: same file in xlsx format.<br> - matlab_data.mat: data in MatLab format with 't' the timeline, 'data' a matrix of 4 columns with temperature data, and 'alt' and 'name' the altitude and name of the 4 points, respectively.<br> - soil_temperature.png: a plot of the timeseries.<br> - T1_1240m.jpg: picture of the site T1 in the Vallon de Nant.<br> - T2_1530m.jpg: picture of the site T2 in the Vallon de Nant.<br> - T3_2150m.jpg: picture of the site T3 in the Vallon de Nant.<br> - T4_2650m.jpg: picture of the site T4 in the Vallon de Nant. Contact: Pascal Vittoz, Institute of Earth surface dynamics, University of Lausanne; pascal.vittoz@unil.ch
DOI: 10.5281/zenodo.5024965
title: Fettweis et al., 2021, TC, Greenland ice sheet and geoengineering: MAR outputs

description: Monthly MARv3.11.3 outputs used in: Fettweis, X., Hofer, S., Séférian, R., Amory, C., Delhasse, A., Doutreloup, S., Kittel, C., Lang, C., Van Bever, J., Veillon, F., and Irvine, P.: Brief Communication: Reduction of the future Greenland ice sheet surface melt with the help of solar geoengineering, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2020-347, accepted, 2020. The available variables are: <pre><code> name title I J K L LON Longitude 1:73 1:135 ... ... LAT Latitude 1:73 1:135 ... ... SH Surface Height 1:73 1:135 ... ... MSK Ice Sheet Area 1:73 1:135 ... ... SOL Soil Type 1:73 1:135 ... ... FRV Vegetation Class Coverage 1:73 1:135 1:2 ... VEG Vegetation Type Index 1:73 1:135 1:2 ... SMB SMB (mmWE/month) 1:73 1:135 ... 1:12 RU Runoff (mmWE/month) 1:73 1:135 ... 1:12 ME Melt (mmWE/month) 1:73 1:135 ... 1:12 SF Snowfall (mmWE/month) 1:73 1:135 ... 1:12 RF Rainfall (mmWE/month) 1:73 1:135 ... 1:12 SU Sublimation/evaporation (mmWE/m 1:73 1:135 ... 1:12 TT Temperature (degC) 1:73 1:135 ... 1:12 SWD Shortwave downward (w/m^2) 1:73 1:135 ... 1:12 LWD Longwave downward (w/m^2) 1:73 1:135 ... 1:12 SWA Absorbed shortwave radiation (w 1:73 1:135 ... 1:12 AL Albedo 1:73 1:135 ... 1:12 </code></pre> <br>
description: If you need other variables or output frequencies from MARv3.11.3, write me (xavier.fettweis @ uliege.be)
DOI: 10.5281/zenodo.5078404
title: SeaFlux: Air-sea CO2 fluxes for surface pCO2 data products using a standardised approach

description: Fluxes calculated using standardised approach: \(F\text{CO}_2=K_0 \cdot K_w \cdot (p\text{CO}_2^\text{sea} - p\text{CO}_2^\text{atm})\ \cdot (1 - [ice])\).<br> We provide each of the components to this equation to reduce the potential for errors in fluxes due to methodological differences. \(p\text{CO}_2^\text{sea}\) is filled using a temporally scaled version of the Landschützer et al. (2020) climatology. \(K_0\) is calculated using the Weiss (1974) parameterization with EN4 salinity and OISST temperatures \(p\text{CO}_2^\text{atm}\) is calculated from NOAA's marine boundary layer product with ERA5 mean sea level pressure corrected for pH2O \([ice]\) is the ice fraction from the OISST product \(k_w\) is calculated for CCMPv2, JRA55, ERA5, NCEP1 and NCEP2 winds with each being scaled independently to 14-C bomb flux estimate of 16.5 cm/hr using the quadratic formulation by Wanninkhof (1992)
description: version 2021.02 calibrates kw with 14-C bomb estimated global average kw (16.5 ± 3.2 cm/hr) where the average is calculated without ice weighting (v2021.01 included ice weighting). Further, the date range of the data has been increased from 1982 to 2020 where possible (not possible for the scaling factor and pCO2 product).
DOI: 10.5281/zenodo.5482547
title: SeaFlux: harmonised sea-air CO2 fluxes from surface pCO2 data products using a standardised approach

description: Fluxes calculated using the standardized approach: \(F\text{CO}_2=K_0 \cdot K_w \cdot (p\text{CO}_2^\text{sea} - p\text{CO}_2^\text{atm})\ \cdot (1 - [ice])\). We provide each of the components to this equation to reduce the potential for errors in fluxes due to methodological differences. The netCDF files contain the following data: <strong>fgco2_all_winds_products: </strong>the sea-air CO2 flux for all spCO2 products (6) and <em>kw</em> from all wind products (5). <strong>fgco2_global: </strong>the globally integrated sea-air CO2 fluxes for all spCO2 products (6) and <em>kw</em> from all wind products (6) <strong>solWeis74</strong>: \(K_0\) is calculated using the Weiss (1974) parameterization with EN4 salinity and OISST temperatures <strong>kw_quadratic_scaled:</strong> \(k_w\) is calculated for winds with each being scaled independently to a 14-C bomb flux estimate of 16.5 cm/hr using the quadratic formulation by Wanninkhof (1992). CCMPv2 ERA5 JRA55 NCEP1 NCEP2 <strong>spco2_SOCOM_unfilled</strong><em>: </em>\(p\text{CO}_2^\text{sea}\) downloaded from various sources contains the following products: CMEMS_FFNN CSIR_ML6 JENA_MLS JMA_MLR MPI_SOMFFN NIES_FNN <strong>spco2_filler</strong><em>: </em>scaled version of the Landschützer et al. (2020) climatology used to fill missing regions of <em>spco2_SOCOM_unfilled</em> <strong>pco2atm: </strong>\(p\text{CO}_2^\text{atm}\) is calculated from NOAA's marine boundary layer product with ERA5 mean sea level pressure corrected for pH2O <strong>ice: </strong>\([ice]\) is the ice fraction from the OISST product <strong>area_ocean:</strong><em> </em>the surface area of the ocean including the fractional area of the coastal regions <strong><em>Units are listed in the metadata of each of the netCDF variables. </em></strong>
description: version 2021.04.03: includes globally integrated fluxes including all wind and pco2 products. version 2021.04.02: removed some files that remained from v2021.02 that I didn't delete in v2021.04 version 2021.04 now extends the variables to calculate fluxes from 1982-2020. The comparison period for fluxes is now limited to 1990-2019 (30 years). The area contains coastal fraction coverage. A missing strip along the longitude 179.5°E is filled in. Negative values of pCO2 are limited to 50 µatm (primarily affects JENA in Hudson Bay). version 2021.02 calibrates kw with 14-C bomb estimated global average kw (16.5 ± 3.2 cm/hr) where the average is calculated without ice weighting (v2021.01 included ice weighting). Further, the date range of the data has been increased from 1982 to 2020 where possible (not possible for the scaling factor and pCO2 product).
DOI: 10.5281/zenodo.5524861
title: A regionally resolved inventory of High Mountain Asia surge-type glaciers, derived from a multi-factor remote sensing approach

description: This file is the .csv database compiling surge-type glaciers automatically identified in Guillet et al (2022). File format is compliant with the Randolph Glacier Inventory (RGI) V6.0. If you have questions about the dataset - please refer to the following reference or contact Dr. Guillet. Guillet, G., King, O., Lv, M., Ghuffar, S., Benn, D., Quincey, D., & Bolch, T. (2022). A regionally resolved inventory of High Mountain Asia surge-type glaciers, derived from a multi-factor remote sensing approach. <em>The Cryosphere</em>, <em>16</em>(2), 603-623.
DOI: 10.5281/zenodo.6562720
title: Figures data from papers "Breakdown of the velocity and turbulence in the wake of a wind turbine", parts 1 and 2

description: This python file makeFigure.py along with the .json files in folder Data/ allows to draw pictures corresponding to the articles "Breakdown of the velocity and turbulence in the wake of a wind turbine" - Part 1 and Part 2 published in Wind Energy Science. The .sh file makeFolders selects and separate the figures needed for the two parts. Slightly more informations are available in the data compared to the article, due to lack of space. In particular, one can found all the planes data from 1 to 8D downstream (instead of only 1D, 5D and 8D) and some data for the unstable and stable cases that were only shown for the neutral case in the paper. <br> Do not hesitate to contact me if more informations are needed.