cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27929862
title: Supplementary Material for: Small Cell Lung Cancer with dual Paraneoplastic Syndromes: A Case Report

description: Background:
Paraneoplastic syndromes are common in cancers such as lung, breast, and ovarian cancers. Still, the dual paraneoplastic syndromes of Ectopic adrenocorticotropic hormone (ACTH) syndrome (EAS) and raised pancreatic enzymes at the same time are rare. EAS is due to the production of ACTH by tumors other than the pituitary gland, which stimulates the hyperplasia of the adrenal cortex to secrete excessive corticosteroids, most commonly in lung cancer. Elevated pancreatic enzymes are associated with ectopic secretion from lung cancer. Clinically, some patients with Small cell lung cancer (SCLC) have atypical early clinical manifestations and may present with paraneoplastic syndrome as the first symptom.
Case report: 
This article describes a case of a 45-year-old male patient who was admitted to the hospital with “intermittent mild edema of both lower extremities for more than 1 month”, and showed persistent low potassium without diuretic drugs, and with abnormally high blood amylase and blood lipase in the exclusion of pancreatitis. The persistent low potassium was caused by unusually high cortisol levels in patients with EAS. that result from large amounts of cortisol secretion. Pancreatitis was excluded, and he was finally diagnosed with extensive-stage SCLC after bronchoscopic biopsy and histopathological confirmation. The patient presented with dual paraneoplastic syndromes of SCLC combined with EAS, high pancreatic enzymes, dual metastases, high malignancy, loss of surgical opportunities, and poor prognosis. The patient died at the end of the first cycle of chemotherapy due to the combination of IV degree of myelosuppression, metabolic alkalosis, severe infection, and respiratory failure. , and died due to the rapid deterioration of his condition.
Conclusion:
Most of the clinical manifestations of lung cancer with paraneoplastic syndrome as the first symptom lack specificity. The paraneoplastic syndrome of lung cancer can appear in all stages of the disease, and if it appears before the diagnosis of lung cancer, it is of some significance in guiding the diagnosis of lung cancer. Meanwhile, when pancreatic lesions are excluded, we should consider malignancy-related hyperpancreatinemia.
DOI: 10.6084/m9.figshare.3486719
title: Aerosol Mass Spectrometry (AMS) Global Database

description: This database is a repository of submicron non-refractory (NR-PM1) ambient aerosol composition data collected with the Aerodyne Aerosol Mass Spectrometers (AMS) and Aerodyne Aerosol Chemical Speciation Monitors (ACSM) at locations around the world. These data are useful to evaluate aerosol models, compare concentrations and other properties across locations, and other applications.
DOI: 10.14291/tccon.ggg2014.garmisch01.r2
title: TCCON data from Garmisch (DE), Release GGG2014.R2

description: The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Garmisch, Germany.
description: <br>Cite this record as:<br>Sussmann, R., & Rettinger, M. (2018). <i>TCCON data from Garmisch (DE), Release GGG2014.R2</i> (Version R2) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.GARMISCH01.R2<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 277<br>Unique Downloads: 23<br> between June 06, 2018 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.14291/tccon.ggg2014.parkfalls01.r1
title: TCCON data from Park Falls (US), Release GGG2014.R1

description: The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Park Falls, U.S.A..
description: <br>Cite this record as:<br>Wennberg, P. O., Roehl, C. M., Wunch, D., Toon, G. C., Blavier, J.-F., Washenfelder, R., Keppel-Aleks, G., Allen, N. T., & Ayers, J. (2017). <i>TCCON data from Park Falls (US), Release GGG2014.R1</i> (Version GGG2014.R1) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.PARKFALLS01.R1<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 523<br>Unique Downloads: 31<br> between September 27, 2017 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.14291/tccon.ggg2014.zugspitze01.r1
title: TCCON data from Zugspitze (DE), Release GGG2014.R1

description: The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Garmisch, Germany.
description: <br>Cite this record as:<br>Sussmann, R., & Rettinger, M. (2018). <i>TCCON data from Zugspitze (DE), Release GGG2014.R1</i> (Version R1) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.ZUGSPITZE01.R1<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 300<br>Unique Downloads: 15<br> between April 18, 2018 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.1594/pangaea.887700
title: A high-resolution air temperature data set for the Chinese Tianshan Mountains in 1979-2016

description: The Chinese Tianshan Mountains (CTM) has a complex ecological environment system. It not only has a large number of desert oases, but also gave birth to a large number of glaciers. The arid climate and the shortage of water resources are the important factors to restrict the socio-economic development in this area. This study presents a unique high-resolution (1km, 6h) air temperature data set for the Chinese Tianshan Mountains from 1979 to 2016 based on a robust statistical downscaling framework. The coverage of data set is 41.1814-45.9945 °N, 77.3484-96.9989 °E. The grid point is derived from SRTM DEM, which is resampled from 90m to 1km. The total number of grid point is 818126. The time step is 6 hour at 00, 06, 12, and 18 Uhr. The data set was validated by 24 meteorological stations at daily scale. Compared with undownscaled ERA-Interim temperature, the Nash-Sutcliffe efficiency coefficient (NSE) increased from 0.90 to 0.94 over all test sites. Around 24% of root-mean-square error (RMSE) was reduced from 3.75 to 2.85 °C. A skill score based on the probability density function (PDF), which was used to validate the reliability of the new data set for capturing the distributions, enhanced from 0.86 to 0.91 for all test sites. We conclude that the new high-resolution data set is reliable for climate change investigation over the Chinese Tianshan Mountains. This data set would be helpful for the potential users for better local climate monitoring, modelling and environmental studies in the Chinese Tianshan Mountains.
DOI: 10.1594/pangaea.902099
title: Liquid water path of HATPRO microwave radiometer at AWIPEV, Ny-Ålesund (2018)

description: The microwave radiometer HATPRO has seven K band (22.235-31.4 GHz) channels that are sensitive to the path integrated amount of cloud liquid water (clwvi) and the path integrated amount of water vapor (precipitable water, prw). These files contain clwvi as a function of measurement time, elevation and azimuth angle observing direction. clwvi is based on multi-variate regression retrievals (see also Crewell and Löhnert, 2003; doi:10.1029/2002RS002654). Provided uncertainties describe the expected standard error of clwvi. Note, that clwvi values are given for all available times so that it is up to the user to decide whether or not to use the values if quality flags are set. Additionally included are temperature, pressure and humidity at the instrument location as well quality flags characterizing the instrument and retrieval performance.
DOI: 10.17909/c6fa-7714
title: Sunburst IFU MAST products

description: Dataset analyzed in Welch et al. 2024
DOI: 10.25326/06
title: IAGOS final quality controlled Observational Data L2 – Time series

description: The IAGOS L2 time series data product contains all in situ observations made by IAGOS instruments (IAGOS-CORE, IAGOS-CARIBIC and IAGOS-MOZAIC) on board of the IAGOS fleet.
Coordinates, timestamp and meteorological variables measured by the aircrart sensors are provided in addition to the observed variables. 

The data have been submitted to final quality control (Level 2). New data is usually available from two to six month after acquisition. 

One single file is provided for each flight. It contains all the variables at the same time resolution (4 seconds for IAGOS-CORE and IAGOS-MOZAIC instruments and 10 seconds for IAGOS-CARIBIC). 

This a growing dataset since new flights take place every day. The period covered is from the beginning of IAGOS-MOZAIC in 1994 to today. Past data may be updated due to corrections. You can see the history of the data set in the provenance and versions sections.
DOI: 10.4121/uuid:63039e2e-03d6-455d-81de-e94c9671f21c
title: Mechanism for biogenic MEK origin from MVK

description: Set of fumigation experiments of red oak plants with MVK, MACR, MEK, 2-butanol, 3-buten-2-ol reporting uptake and emission rates.
DOI: 10.5067/aqua/ceres/ssf1degday_l3.004a
title: CERES Level 3 SSF1deg-Day Aqua-MODIS HDF file - Edition 4A
DOI: 10.5067/aura/mls/data2021
title: MLS/Aura L2 Temperature - Version 4
DOI: 10.5067/caliop/calipso/lid_l2_05kmalay-standard-v4-20
title: CALIPSO Lidar Level 2 5 km Aerosol Layer Data V4-20
DOI: 10.5067/raqcj0sv90ie
title: CAR SAFARI BRDF Measurements V2
DOI: 10.5067/rrfy5iw94x5w
title: MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from Optical Images, Version 3
DOI: 10.5281/zenodo.14060446
title: Thermalization and Criticality on an Analog-Digital Quantum Simulator

description: Data underlying conclusions in https://arxiv.org/abs/2405.17385

Fig2_1: Bitstring distributions underlying Fig. 2b,c, including evolution times in ns and lists of qubits for each system size. The data has dimension [system_sizes,randomization_index,evolution_times]. Each distribution is represented as a dictionary with keys corresponding to bitstring decimal representations, and values representing the number of times each bitstring appeared in the experiment.

Fig3_1: Ramp dependence data underlying Fig. 3b-f,h, including also ramp times in ns and qubit coordinates. The data array has dimensions [ramp_times,repetitions,qubits]

Fig3_2: Data collected throughout ramp (underlying Fig. 3i), including ramp fractions, ramp times in ns, and qubit coordinates. The data array has dimensions [ramp_times,ramp fractions,repetitions,qubits] 

Fig4_1: Measurements with varying number of initial excitations, used for Fig. 4a-e (n=0 used for Fig. 3g). The data was measured in 3 batches and includes various operator patterns for determining Swendsen's vortex operator. The file contains qubit coordinates, ramp times, excitation numbers, operator patterns, and the full data array. The data array has dimensions [batches,ramp_times,operator_patterns,repetitions,qubits]

Fig4_2: Entanglement entropy data underlying Fig. 4f, as well as list of subsystem sizes and number of excitations. The data array has dimensions [subsystem_size,randomization_index,excitation_number,subsystem_index]

Fig5_1: Thermalization data underlying Figs. 5c-e, as well as a list of qubit coordinates and evolution times in ns. The data array has dimensions [evolution_times,repetitions,qubits]. 

Fig5_2: Transport data underlying Figs. 5f-h, as well as a list of qubit coordinates and evolution times in ns. The data array has dimensions [evolution_times,repetitions,qubits].

Fig5_3: Vorticity data underlying Figs. 5i-k, as well as a list of qubit coordinates, evolution times in ns, and operator patterns. The data array has dimensions [operator_patterns,evolution_times,repetitions,qubits]
DOI: 10.5281/zenodo.14327471
title: SPOCK 2.0: FeatureClassifier dataset

description: We provide a rebound simulation archive of the multiplanet REBOUND simulation dataset, outlined by Tamayo et al. (2020), for use in the SPOCK ML model. This dataset is accompanied by corresponding labels stored in a CSV. This updated dataset has been cleaned and mislabeled/duplicated simulations have been removed. We provide 127,438 unique sets of initial conditions for three planet systems, along with their corresponding instability times (maxing out at 1e9 orbits of the innermost planet), which are a result of numerical integration.
DOI: 10.5281/zenodo.14633793
title: Effectively controlling for sample relatedness in large-scale GWAS: application to 79 EHR-derived longitudinal traits

description: Sample relatedness is a major confounder in genome-wide association studies (GWAS), potentially leading to inflated type I error rates if not appropriately controlled. A common strategy is to incorporate a random effect related to genetic relatedness matrix (GRM) into regression models. However, this approach is challenging for large-scale GWAS of complex traits, such as longitudinal traits. Here we propose a scalable and accurate analysis framework, SPAGRM, which controls for sample relatedness via a precise approximation of the joint distribution of genotypes. SPAGRM can utilize GRM-free models and thus is applicable to various trait types and statistical methods, including linear mixed models and generalized estimation equations for longitudinal traits. A hybrid strategy incorporating saddlepoint approximation greatly increases the accuracy to analyze low-frequency and rare genetic variants, especially in unbalanced phenotypic distributions. We also introduce SPAGRM(CCT) to aggregate the results following different models via Cauchy combination test. Extensive simulations and real data analyses demonstrated that SPAGRM maintains well-controlled type I error rates and SPAGRM(CCT) can serve as a broadly effective method. Applying SPAGRM to 79 longitudinal traits extracted from UK Biobank primary care data, we identified 7,463 genetic loci, making a pioneering attempt to conduct GWAS for these traits as longitudinal traits.
DOI: 10.5281/zenodo.1471702
title: NEMO Reference configurations inputs

description: Input archives for running the configurations included in NEMO 3.4: AMM12, AMM12_PISCES, ORCA2_LIM, ORCA2_LIM_PISCES and ORCA2_OFF_PISCES
DOI: 10.5281/zenodo.260398
title: Supporting Data: Prevalence Of Sexual Dimorphism In Mammalian Phenotypic Traits

description: Supporting material for the manuscript <strong>“</strong><strong>Prevalence of sexual dimorphism in mammalian phenotypic traits”</strong> .  This manuscript was published in Nature Communication 26th January 2017
DOI: 10.5281/zenodo.3247041
title: Meteorological drought lacunarity around the world and its classification

description: Drought duration strongly depends on the definition thereof. In meteorology, dryness is habitually measured by means of fixed thresholds (e.g. 0.1 or 1 mm usually define dry spells) or climatic mean values (as is the case of the Standardised Precipitation Index), but this also depends on the aggregation time interval considered. However, robust measurements of drought duration are required for analysing the statistical significance of possible changes. Herein we have climatically classified the drought duration around the world according to their similarity to the voids of the Cantor set. Dryness time structure can be concisely measured by the n-index (from the regular/irregular alternation of dry/wet spells), which is closely related to the Gini index and to a Cantor-based exponent. This enables the world’s climates to be classified into six large types based upon a new measure of drought duration. We performed the dry-spell analysis using the full global gridded daily Multi-Source Weighted-Ensemble Precipitation (MSWEP) dataset. The MSWEP combines gauge-, satellite-, and reanalysis-based data to provide reliable precipitation estimates. The study period comprises the years 1979-2016 (total of 45165 days), and a spatial resolution of 0.5º, with a total of 259,197 grid points. FILES 1. "drought_class" (geotiff) 2. "legend_drought_class" (csv): legend values for drought classification. 3. "rasterbrick_index_HurstCantorGini" (geotiff): raster with three layers (Hurst, Cantor and Gini Index applied to dry spells). 4. "rasterbrick_nindex_spells" (geotiff): raster with four layers (Dry Spell Spells n-index, maximum expected dry spell<em>Y</em><sub>1 </sub>, mean dry spell and mean wet spell). Projection: "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs" (EPSG.4326)
description: We wish to acknowledge the support received from the Spanish projects CGL2017-83866-C3-2-R and Climatology Group 2017 SGR 1362.
DOI: 10.5281/zenodo.3688700
title: Datasets of UV irradiance, visible and photosynthetically active radiation in Marambio, Antarctica from March 2017 to May 2019

description: GUV radiometer data from Marambio station for the period March 2017 - May 2019. UV-B and UV-A daily maximum irradiances and dailydoses. Daily noon UV index and total column ozone. Daily maximum irradiances at 555 nm (VIS) and daily maximum of photosynthetically active radiation. If you use the data, please contact Kaisa Lakkala, Finnish Meteorological Institute.
description: The units of the data set have been corrected.
DOI: 10.5281/zenodo.3711155
title: High temporal and spatial resolution precipitation data of Upper Brahmaputra River Basin (1981-2016)

description: This data set describes the temporal and spatial distribution of precipitation in the Upper Brahmaputra River Basin. We integrate (CMA, GLDAS, ITP-Forcing, MERRA2, TRMM) five sets of reanalysis precipitation products and satellite precipitation products, and combine the observation precipitation of 9 national meteorological stations from China Meteorological Administration (CMA) and 166 rain gauges of the Ministry of Water Resources (MWR) in the basin. The time range is 1981-2016, the time resolution is 3 hours, the spatial resolution is 5 km, and the unit is mm/h. The data will provide better data support for the study of Upper Brahmaputra River Basin, and can be used to study the response of hydrological process to climate change. For the convenience of users, the data is stored in the format of TXT, one file per month. The name is "prec_integrated_yyyymm.txt", where yyyy represents the year and mm represents the month. Each file is internally stored with 248 (January, March, May, July, August, October, December), 240 (April, June, September, November), 224 or 232 (February) precipitation spatial distribution. The number of rows and columns of each distribution is 292 * 79, arranged in time sequence (0, 3, 6, 9...o'clock). Add the header file information to each image to open it with ArcGIS. The header file information is as follows:<br> ncols 292<br> nrows 79<br> xllcorner 20968.258085928<br> yllcorner 3078203.0630637<br> cellsize 5000<br> NODATA_value -9999
description: This study was financially supported by the National Natural Science Foundation of China (Grant No. 91747201) and the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA20060202 and XDA19070301). Jing Zhou was supported by the National Natural Science Foundation of China (Grant No. 41771089).
description: {"references": ["WANG Yuanwei, WANG Lei, LI Xiuping, ZHOU Jing. High temporal and spatial resolution precipitation data of Upper Brahmaputra River Basin (1981-2016). National Tibetan Plateau Data Center, 2020."]}
DOI: 10.5281/zenodo.3745509
title: DATA for Land Surface Model influence on the simulated climatologies of temperature and precipitation extremes in the WRF v.3.9 model over North America

description: Code and daily temperature and precipitation outputs used to estimate climate extreme indices in García-García et al. 2020. García-García A., Cuesta-Valero F.J., Beltrami H., González-Rouco J.F., García-Bustamante E., and Finnis J. "Land Surface Model influence on the simulated climatologies of temperature and precipitation extremes in the WRF v.3.9 model over North America" submitted to Geocientific Model Development. 2020.
DOI: 10.5285/8838b0b7-20b7-46bb-8cf1-b853290b2035
title: Modelling and observed sea salt aerosol in the Weddell Sea (June-August 2013)

description: This dataset contains all datasets used in Yang et al. ACP (2019), especially the model-data comparison data and pTOMCAT's model experimental results. The data include pTOMCAT model output of sea salt aerosol (SSA) and the cruise data from the Weddell Sea, they include blowing snow particles and aerosol number density and regrouped size spectrum over open ocean, marginal sea ice zone and packed sea ice. It also contains monthly sea salt aerosol sodium concentrations at eight polar sites in both northern and southern hemispheres: Alert, Barrow, Summit, Palmer, Neumayer, Halley, Kohnen and Concordia (Dome C). The Weddell Sea particle data (both blowing snow and aerosol) are from 29m above the sea level (not including near surface data). The data period only covers 13 June-26 July 2013. To get access to a full cruise dataset, see the companion paper by Frey et al. (2019) and the DOI link.

This study was supported by NERC-funded BLOWSEA project (NE/J023051) and the German RV Polarstern.
description: The details of the Weddell Sea data is detailed in Frey et al. (ACP) 2019 paper. They were collected aboard the German RV Polarstern between 8 June and 12 August 2013. Ambient temperature and relatively humidity were continuously measured from the crow's nest at 29m above the sea level at 1 min interval, and wind speed and direction at 39m above sea level.
The model outputs are from a global chemistry transport model (p-TOMCAT), with a detailed SSA scheme implemented, with a horizontal resolution of 2.8◦ x 2.8◦ in 31 vertical levels. To make a direct comparison with the cruise data, model's output (in 30 min interval) were bi-linearly interpolated (in both horizontal and vertical dimensions) based on the cruise location and pressure.
For monthly mean SSA [Na] comparison, model's nearest gridbox values are used directly (without further interpolation).
description: See the companion paper by Frey et al. 2019
DOI: 10.5287/bodleian:pyybbxpk2
title: Simulating Jupiter's weather layer: Accompanying data for Parts I and II

description: This dataset contains instantaneous model states from two simulations of Jupiter’s atmosphere, over 100 Earth days. The data were generated by a version of the MIT General Circulation Model (MITgcm) modified to simulate Jupiter’s upper troposphere and lower stratosphere. The model simulates Jupiter’s weather layer down to 18 bar at 0.7 degree horizontal resolution, with parametrizations of radiative forcing, vertical diffusion, dry convection, and ammonia and water cycles. Run B has 5.7 W/m2 heating into the bottom of the domain, while Run A does not; both are heated by the Sun from above.