cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21456276
title: Supplementary Material for: Increased Longevity of a Novel Gas Exchanger System for Low-Flow Veno-Venous Extracorporeal CO<sub>2</sub> Removal in Acute Hypercapnic Respiratory Failure

description: <b><i>Introduction:</i></b> Low-flow veno-venous extracorporeal CO<sub>2</sub> removal (ECCO<sub>2</sub>R) is an adjunctive therapy to support lung protective ventilation or maintain spontaneous breathing in hypercapnic respiratory failure. Low-flow ECCO<sub>2</sub>R is less invasive compared to higher flow systems, while potentially compromising efficiency and membrane lifetime. To counteract this shortcoming, a high-longevity system has recently been developed. Our hypotheses were that the novel membrane system provides runtimes up to 120 h, and CO<sub>2</sub> removal remains constant throughout membrane system lifetime. <b><i>Methods:</i></b> Seventy patients with pH ≤ 7.25 and/or PaCO<sub>2</sub> ≥9 kPa exceeding lung protective ventilation limits, or experiencing respiratory exhaustion during spontaneous breathing, were treated with the high-longevity ProLUNG system or in a control group using the original gas exchanger. Treatment parameters, gas exchanger runtime, and sweep-gas VCO<sub>2</sub> were recorded across 9,806 treatment-hours and retrospectively analyzed. <b><i>Results:</i></b> 25/33 and 23/37 patients were mechanically ventilated as opposed to awake spontaneously breathing in both groups. The high-longevity system increased gas exchanger runtime from 29 ± 16 to 48 ± 36 h in ventilated and from 22 ± 14 to 31 ± 31 h in awake patients (<i>p</i> &lt; 0.0001), with longer runtime in the former (<i>p</i> &lt; 0.01). VCO<sub>2</sub> remained constant at 86 ± 34 mL/min (<i>p</i> = 0.11). Overall, PaCO<sub>2</sub> decreased from 9.1 ± 2.0 to 7.9 ± 1.9 kPa within 1 h (<i>p</i> &lt; 0.001). Tidal volume could be maintained at 5.4 ± 1.8 versus 5.7 ± 2.2 mL/kg at 120 h (<i>p</i> = 0.60), and peak airway pressure could be reduced from 31.1 ± 5.1 to 27.5 ± 6.8 mbar (<i>p</i> &lt; 0.01). <b><i>Conclusion:</i></b> Using a high-longevity gas exchanger system, membrane lifetime in low-flow ECCO<sub>2</sub>R could be extended in comparison to previous systems but remained below 120 h, especially in spontaneously breathing patients. Extracorporeal VCO<sub>2</sub> remained constant throughout gas exchanger system runtime and was consistent with removal of approximately 50% of expected CO<sub>2</sub> production, enabling lung protective ventilation despite hypercapnic respiratory failure.
DOI: 10.34740/kaggle/dsv/4447235
title: Gasoline Prices in Italy - 20211201
DOI: 10.6084/m9.figshare.19609608
title: Nc_GeneModels.gff3

description: Genome annotation of <em>Nibea coibor</em> provided an important basis for the subsequent research of genetic breeding and genome evolution of <em>Nibea coibor</em>.
DOI: 10.6084/m9.figshare.19837369
title: chr.BHG01.merge.evm.gff3

description: The file is in GFF format, which describes the genome annotation for bar-headed goose.
DOI: 10.17632/9tytvdxd24.1
title: Crash Cymbal Sounds

description: Audios concerning four crash cymbals collected in a recording studio through a standardized impact procedure considering two different condenser microphones and environments perspectives.
These four 18" crash cymbals are distributed into three classes referring to their bronze alloys (Cu + Sn): B8, B10 and B20.  Although two of them are similar (B8 of the same model and manufacturer), it is important to highlight that one is damaged on the edge and the other is a new one.
DOI: 10.17632/v4n25ncc4n.2
title: OLBI dataset

description: The Greek version of the Oldenburg Burnout Inventory, used to assess exhaustion and disengagement from work, was analyzed using IRT analyses, to investigate the dimensionality and the psychometric properties of the measure’s items. The OLBI was administered to 617 Greek employees, from which 314 participated to the validation study (not available in this repository). Results indicated that four negatively-keyed items from the original measure exhibited excellent psychometric properties (item/test information functions) and were used for the screening version of the OLBI. The scr-OLBI was tested for differential item functioning (DIF) between male and female employees; no bias detected in relation to gender. Our results reveal that the scr-OLBI is a reliable and valid indicator of work-related burnout, which appears to be functionally equivalent to the original version both theoretically and empirically, yet pertains the advantages of a screening tool.
DOI: 10.6084/m9.figshare.21171886
title: Effects of vessel traffic and ocean noise on gray whale stress hormones

description: dataset.csv: Contains all gray whale, acoustic, and vessel data <br> noisevessels.csv: Contains acoustic, vessel, and wind data
DOI: 10.6084/m9.figshare.20296866
title: Supplementary Material for: Association of nutritional support with survival-time in hospitalized older patients with dysphagia: a retrospective study

description: Dysphagia results from age-related changes in swallowing physiology and contributes to various health status changes, including higher risks for malnutrition, pneumonia, and mortality [1, 2]. It also occurs in age-related diseases, including stroke [3] and cancer [4], and progressive neurological diseases, such as dementia [5] and Parkinson’s disease [6]. These associations, and global aging, have increased the importance of dysphagia management. Artificial nutrition can support patients with dysphagia caused by various clinical conditions. Percutaneous endoscopic gastrostomy (PEG) is an artificial nutrition method that secures an enteral nutrition (EN) route in dysphagia patients [7]. PEG tubes have been widely used in Japan as a convenient and effective EN route since approximately 1990; however, the use of PEG feeding in dementia patients is controversial [8-10]. Total parenteral nutrition (TPN) is an alternative nutritional management method [11] and has been the most frequently used nutritional support method in Japan since 2010. A comparison of long-term outcomes associated with PEG feeding and TPN in older patients found that older patients, and those with poorer nutritional status and severe dementia, were more likely to receive TPN, whereas patients with cerebrovascular disease were more likely to receive PEG [12]. A 2012 Japan Geriatric Society position statement on end-of-life care for older adults suggested that patients’ families or caregivers should decide whether feeding tubes should be withheld or withdrawn [13]. Although advanced directives are now widely used, the decision of whether to institute enteral tube feeding is an important issue for older patients and their families. However, global clinical evidence for the effect of artificial nutritional support on survival-time, and for differences between administration routes, is lacking. The rate of aging in Japan is more rapid than in any other country, and more research is needed on clinical decision making for the older population. The study aim was to clarify the effects of artificial nutritional support route on survival-time of older terminal patients with dysphagia.
DOI: 10.17189/1519453
title: MSL MARS CHEMISTRY AND MINERALOGY 5 RDR V1.0
DOI: 10.17632/f4whmwr3h8.1
title: Monitoring blue carbon ecosystem restoration using drones and object-based classification - Data

description: These data were used as part of wetland restoration monitoring research, using drone imagery and object-based image classification. 

Drone flights were conducted over a restoration site (Fish Fry Flat, Kooragang Island, Hunter River estuary, NSW, Australia) at seven time points over a 46-month period. The raw multispectral and elevation drone data were used along with training data to classify saltmarsh and other land cover types at a saltmarsh restoration site at seven temporal points over a 46-month period. The Google Earth Engine code for this classification is available here: https://code.earthengine.google.com/f2a4ea73b8542e1e7cb4ca04ef9b8bf4.

This Mendeley repository includes the classified images produced in Google Earth Engine and other associated files used to analyse the classified images in RStudio. The change tiffs were generated in QGIS by subtracting the classified images from one another. The accuracy data ("training_validation_2_alldata.xlsx") are a summary of the confusion matrix data produced in Google Earth Engine, and the variable importance data ("variable_importance_allvars.xlsx") were exported from column charts of variable importance in Google Earth Engine. The growth/loss data ("growth_loss.xlsx") refer to growth, loss and species transitions between the two major saltmarsh species at our site (see which code refers to which growth/loss transition in the "growth_loss" script on GitHub), and were generated in QGIS by reclassifying and summing classified images. The "classmetrics" and "landmetrics" csvs were produced in the "patch_metrics" R script and allow users to skip midway into the patch analysis, because the initial patch analysis takes hours to run. 

The data can be analysed in RStudio using the code in this GitHub repository: https://github.com/dlanceman/kooragang. The data can be used to investigate temporal and spatial changes in saltmarsh species cover over time and relationships with elevation. They can also be used to look at the importance of different variables for classification and for exploring classification accuracy between classes and over time.
DOI: 10.20383/102.0449
title: SuperDARN 2013 RAWACF

description: SuperDARN RAWACF files for the calendar year 2013. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.20383/102.0450
title: SuperDARN 2012 RAWACF

description: SuperDARN RAWACF files for the calendar year 2012. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.20383/102.0454
title: SuperDARN 2008 RAWACF

description: SuperDARN RAWACF files for the calendar year 2008. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.20383/102.0455
title: SuperDARN 2007 RAWACF

description: SuperDARN RAWACF data for the calendar year 2007. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.5281/zenodo.5030857
title: Model settings and surface measurements for air quality study

description: Source code, run directories and initial condition for GEOS-Chem model simulations. Surface O3, NO2 and PM2.5 measurements in China in 2014-2019
DOI: 10.5281/zenodo.6541956
title: The data of acp-2022-336

description: Data used in the work "Fluorescence characteristics, absorption properties, and radiative effects of water-soluble organic carbon in seasonal snow across northeastern China".
DOI: 10.5281/zenodo.7127802
title: Optical polarimetric observations of the black hole binary star Cyg X-1 with RoboPol

description: The dataset contains raw FITS images of the black hole X-ray binary star Cyg X-1, raw FITS images of a nearby field star used for the interstellar polarization correction and processed measurements of polarimetric standards used for the instrumental polarization correction. The dataset was obtained with the RoboPol optical polarimeter in the R-band mounted at the 1.3 m telescope of the Skinakas Observatory, Greece. The data were collected between 13 May and 1 June 2022.<br>
description: {"references": ["arXiv:2206.09972"]}
DOI: 10.6084/m9.figshare.19193093.v3
title: Repository: Mars Science Laboratory CheMin data from the Glen Torridon region and the significance of lake-groundwater interactions in interpreting mineralogy and sedimentary history.

description: This repository contains the is the MATLAB model for lacustrine groundwater mixing in the Glen Torridon region of Gale crater, Mars, the NEWMOD results for the clay-mineral models, and all supplemental data.
DOI: 10.6084/m9.figshare.20132138
title: Supplementary Material for: Application of the Milan System for Reporting Salivary Gland Cytopathology: A Single Institutional Experience of 354 Cases with Cytologic-Histologic Correlation

description: <b><i>Background:</i></b> Evaluation of salivary gland lesions is routinely done preoperatively by fine-needle aspiration cytology (FNAC). The Milan System for Reporting Salivary Gland Cytopathology (MSRSGC), with diagnostic categories I–VI, has been recommended to standardize the reporting of salivary gland lesions by FNAC. We aimed to reclassify archival salivary gland FNAC samples using MSRSGC, correlate the samples with surgical resections, and calculate the risk of malignancy (ROM) for each category. <b><i>Methods:</i></b> A total of 354 salivary gland FNAC samples (2013–2018) were reviewed. All FNAC results were retrospectively classified according to the MSRSGC. All cases had surgical follow-up. Histology was used to calculate the ROM, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy. <b><i>Results:</i></b> The 354 aspirates were classified as: nondiagnostic (ND) 17.0% (60), non-neoplastic (NN) 1.4% (5), atypia of undetermined significance (AUS) 11.0% (39), benign neoplasm (BN) 49.4% (175), salivary gland neoplasms of unknown malignant potential (SUMP) 10.7% (38), suspicious for malignancy (SM) 3.4% (12), and malignant (M) 7.1% (25). The ROM was as follows: ND 22%, NN 20%, AUS 15%, BN 2%, SUMP 53%, SM 75%, and M 96%. The diagnostic accuracy for separating benign versus malignant neoplasms was 96%. Cytologic-histologic correlation yielded a false-negative rate of 2.7%, false-positive rate of 10.5%, PPV of 89%, NPV of 97%, sensitivity of 87%, and specificity of 98%. <b><i>Conclusion:</i></b> MSRSGC helps standardize cytology reports, provides useful information for appropriate clinical management, and ensures the best care of patients with salivary gland lesions.
DOI: 10.15139/s3/hfv0ao
title: Replication Data for: Hot Districts, Cool Legislation: Evaluating Agenda Setting in Climate Change Bill Sponsorship in U.S. States

description: What factors influence agenda setting behavior in state legislatures in the United States? Using the localized effects of climate change, we examine whether notable changes in temperature can raise the salience of the issue, thus encouraging a legislative response. To evaluate the behavior of individual legislators around climate policy, we utilize an original dataset that includes geographic mapping of climate anomalies at the state legislative district level and incorporates individual, chamber, district and state characteristics to predict climate bill sponsorship. Using a multi-level model that estimates climate-change bill sponsorship among 25,000 legislators from 2011-2015, we find a robust relationship between temperature anomalies and bill sponsorship for Democratic members of state legislators while Republicans are unresponsive to such factors. Our data and methodological approach allow us to examine legislative action on climate change beyond final policy passage and offers an opportunity to understand the motivations behind climate innovation in the American states.