cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28226678
title: Supplementary Material for: Prognostic value of clinical complete response for patients with initially unresectable hepatocellular carcinoma after conversion with triple therapy

description: Introduction: Accurately predicting the outcomes of conversion therapy among patients with initially unresectable hepatocellular carcinoma (uHCC) remains a challenge. Clinical complete response (cCR) has been proposed as a predictor of prognosis. However, information on its prognostic value in these patients is limited. We aimed to explore the prognostic value of cCR in patients with uHCC following conversion therapy and identify predictors of cCR.
Methods: We included 241 patients with uHCC who underwent transcatheter arterial chemoembolization combined with lenvatinib and PD-1 inhibitors (triple therapy) as first-line treatment. The prognostic value of cCR, predictive factors of cCR, and the relationship between cCR and pathological complete response (pCR) were analyzed.
Results: The cCR rate of the 241 patients included was 17.4%. Patients with cCR showed better overall survival (OS) (p &lt; 0.001) and progression-free survival (PFS) (p &lt; 0.001) than those without. cCR was an independent risk factor for OS (hazard ratio [HR]: 0.11, 95% confidence interval [CI]: 0.03–0.42, p = 0.001) and PFS (HR: 0.29, 95% CI: 0.15–0.56, p &lt; 0.001). Serum α-fetoprotein levels ≥400 ng/mL (odds ratio [OR]: 0.47, 95% CI: 0.22–0.95, p = 0.040) and extrahepatic metastasis (OR: 0.13, 95% CI: 0.01–0.62, p = 0.046) were independent negative predictors of cCR. A total of 107 patients (44.4%) underwent conversion surgery. Among these patients, cCR was associated with better OS (p =0.009) and recurrence-free survival (p = 0.007). cCR was significantly correlated with pCR (Φ = 0.61, p &lt; 0.001). Albumin levels ≥35 g/L (OR: 0.12, 95% CI: 0.02–0.69, p = 0.018) and cCR (OR: 30.32, 95% CI: 9.19–128.00, p &lt; 0.001) were independent predictors of pCR.
Conclusion: cCR after triple therapy has an excellent long-term survival advantage and is significantly related to pCR. cCR may be a surrogate marker for predicting prognosis and pCR in patients with uHCC receiving triple therapy.
DOI: 10.6084/m9.figshare.28239167
title: Supplementary Material for: Posterior Nodular Scleritis in a Leukemic Patient: A Case Report

description: Introduction: This is an observational case report to detail a challenging case of nodular posterior scleritis (NPS) in a leukemic patient following chemotherapy and allograft.
 
Case Presentation: A 69-year-old leukemic patient presented with unilateral vision loss and pain following febrile neutropenia caused by bacteremia and infectious pneumopathy. Ocular B-mode ultrasound and cerebral magnetic resonance imaging revealed posterior scleritis with a scleral nodule, exudative retinal detachment (ERD), and choroiditis with serous choroidal detachment (SCD). The anterior chamber tap and systemic investigations were normal. Vitrectomy with vitreous biopsy did not provide additional information. A diagnosis of idiopathic nodular posterior scleritis was made. Topical corticosteroids, intravitreal injections of vancomycin and ceftazidime, oral trimethoprim-sulfamethoxazole, and intravenous tazocillin were administered. Over the following weeks, the SCD completely regressed, while the nodule and the ERD partially regressed.

Conclusion: NPS is a rare pathology, most commonly idiopathic. A systemic check-up and vitrectomy with sub-retinal biopsy should be considered in immunosuppressed leukemic patients when the etiology of the nodule remains
DOI: 10.7265/n5rf5s0d
title: Major Ion Chemistry Data of WAIS Divide Ice Core Brittle Ice
DOI: 10.14768/9af22472-c438-41d7-815e-09d629e55cf8
title: ORCHIDEE_3_r7267

description: Earth System Models (ESM) represent the time evolution of the biophysical (energy, water cycles) and biogeochemical (carbon cycle) components of the Earth. When used for near-future projections in the context of the Coupled Model Intercomparison Project (CMIP), they use as forcings the evolution of greenhouse gas and other pollutant concentrations and land-use changes simulated by an ensemble of Integrated Assessment Models (IAMs) for a combination of socio-economic pathways and mitigation targets (SSPs). More precisely, only one IAM output is used as representative of a single SSP while the inter-IAM spread is large for ammonia emissions and land-use changes, for instance. This makes the comparison of key ESM diagnostics among SSPs significantly noisy, without the capacity of disentangling SSP-driven and IAM-driven factors. In this paper, we quantify the projected change in land carbon store (CLCS) for the different SSPs with an advanced version of a land surface model embedded into IPSL-CM6 ESM. Through a set of land-only factorial simulations, we specifically aim at estimating the CLCS uncertainties associated with land-use change and nitrogen deposition trajectories. We showed that the spread of the simulated change in global land carbon store induced by the uncertainty on land-use changes is slightly larger than the one associated with the uncertainty on atmospheric CO2. Globally, uncertainty associated with N depositions is responsible for a spread in CLCS lower by a factor three, than the one driven by atmospheric CO2 or land-use changes. Our study calls for making available additional IAM scenarios for each SSP to be used in the next CMIP exercise, in order to specifically assess the IAM-related uncertainty impacts on the carbon cycle and the climate system.
DOI: 10.15784/601216
title: Automatic Weather Station Pine Island Glacier

description: Automatic Weather Station, located on Pine Island Glacier. Data set from 2008-2015.
DOI: 10.15784/601411
title: Ice-penetrating radar internal stratigraphy over Dome C and the wider East Antarctic Plateau

description: The data set published here consists of 26 ice-penetrating radar IRHs (internal reflecting horizons) which were traced across multiple ice-penetrating radar surveys that deployed several generations of modern ice-penetrating radar sounders over a decade, between 2008 and 2018, over the Dome C region of the East Antarctic Plateau. The data set is associated to ESSD publication: Cavitte et al., ESSD . We can subdivide the radar sounders used into three sets. The primary set was collected by the University of Texas at Austin Institute for Geophysics (UTIG) and the Australian Antarctic Division (AAD) as part of the ICECAP project) between 2008 and 2015. This includes the Oldest Ice candidate A (OIA) survey flown by ICECAP in January 2016. Data were collected with the High Capacity Airborne Radar Sounder (HiCARS) 1 & 2 and its Multifrequency Airborne Radar-sounder for Full-phase Assessment (MARFA) descendant. The data was collected from a DC-3T Basler which operated from Concordia Station. The second set consists of the Vostok-Dome C airborne radar transect was flown by the Center for Remote Sensing of Ice Sheets (CReSIS) at the University of Kansas using the Multi-Channel Coherent Radar Depth Sounder (MCoRDS) in a single flight line in 2013. A P-3 Orion operating from McMurdo Station collected these data as part of NASA Operation Ice Bridge. The third set consists of a subset of the LDC ground-based radar survey, towed behind a PistenBully PB300 tractor, collected by the Beyond EPICA - Oldest Ice (BE-OI) European Consortium using the British Antarctic Survey’s (BAS) Deep Looking Radio Echo Sounder (DELORES) radar system. Each IRH has been traced in all three radar sets and is published here as a single csv and netcdf file. Formats are self-documented in these csv/netcdf files. Where HiCARS and MCoRDS radar transects are used, the IRH is provided at a 1 km spatial resolution, where DELORES radar transects are used, the IRH is provided at a 250 m spatial resolution. The 26 IRHs published here were traced semi-automatically by first author Marie Cavitte, using Landmark's Decision Space Desktop software and its built-in picker. The IRHs are dated at the EDC ice core using the AICC2012 timescale (Veres et al., 2013; Bazin et al., 2013) Ice core ages are transferred onto the IRHs on radar transect MCM/JKB1a/EDMC01a at distance = 110.153 m along the transect. Depth and age uncertainties associated to each IRH are quantified in the associated ESSD publication: Cavitte et al., ESSD . Besides NSF this dataset is the result of additional support from NERC grant - NE/D003733/1, NASA grants - NNX08AN68G, NNX09AR52G, NNX11AD33G, NNX13AD53A, and funding from the G. Unger Vetlesen Foundation.
DOI: 10.17632/2mgx2xzzpk.3
title: BASIC Composite Ozone Time-Series Data

description: BAyeSian Integrated and Consolidated (BASIC) composite ozone time-series dataset built from a Bayesian joint self-calibration analysis of multiple composite ozone datasets. The construction of the BASIC composite is described in detail in the paper: Ball et al, Reconciling differences in stratospheric ozone composites, ACP (2017). If you use the BASIC dataset, please cite both the DOI for this data page and Ball et al 2017 (ACP). The netCDF file includes variables for time, pressure and latitude giving the Julian dates* and pressure and latitude grid respectively. The ozone time-series data is given in the variable o3[time, pressure, latitude] and associated (time-varying) 1-sigma uncertainties are given in sigma_o3[time, pressure, latitude]. BASIC_V1_swooshV2.6_gozcardsV1.0_sbuvmodV8.6_sbuvmer.nc is built from SWOOSH v2.6, GOZCARDS v1.0, SBUV-MOD v8.6 and SBUV-MER (as described in Tummon et al 2015). This corresponds to the BASIC composite presented in Ball et al 2017 (ACP); the data runs up until Dec 2012. BASIC_V1_swooshV2.6_gozcardsV2.20.nc is built from SWOOSH v2.6 and GOZCARDS v2.20; the updated data runs up until Dec 2018. This data was used in the revised version of Ball et al, Continuous decline in lower stratospheric ozone offsets ozone layer recovery, 2017 (ACPD) (referred to as merged-swoosh/gozcards in that paper). *00:00:00.0 on 1/1/1980=2444239.5
DOI: 10.18739/a2862bc30
title: Micropulse lidar (MPL) measurements taken at Summit Station, Greenland, 2019

description: This data set contains measurements from a MicroPulse LIDAR (MPL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LIDAR is owned by the US Department of Energy's Atmospheric Radiation Measurement (ARM) Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program. Together these products will augment similar data sets that are produced at other locations across the Arctic.
DOI: 10.18739/a2gq6r30g
title: Precipitation Occurrence Sensor System measurements taken at Summit Station, Greenland, 2019

description: This data set contains measurements of reflectivity and derived estimates of snowfall rate made by a Precipitation Occurrence Sensor System (POSS) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. The POSS makes measurements in an approximately one cubic meter volume just above the sensor and is designed to quantify the amount of precipitation reaching the surface. Data files contain timeseries of the observed radar reflectivity and other supporting radar measureables as well as the derived snowfall rate in mm/hr. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The POSS is operated by Matthew Shupe at the University of Colorado and is on loan from Environment Canada. Field operations are supported by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a2q52fd4v
title: Millimeter Cloud Radar measurements taken at Summit Station, Greenland, 2019

description: This data set contains measurements from a Millimeter Cloud Radar (MMCR) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. The MMCR points near-vertically and provides estimates of radar reflectivity, mean Doppler velocity, and Doppler spectrum width, as well as full Doppler spectra. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The MMCR is owned by the National Oceanic and Atmospheric Administration, Earth System Research Laboratory. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.4121/20492934.v1
title: ZAMSECUR Project Miombo Forest, Zambia, Southern Africa

description: The Observation tower was set up in a dense Miombo Forest in Mpika, Zambia in Southern Africa. The Bowen ratio (BR) is estimated using the Distributed Temperature Sensing (DTS) system. The daily BR is an average of hourly estimates. The DTS approach for estimating the Bowen ratio in a forest is explained in Schilperoort et al (2018). The Silxa XT DTS machine was used. The Net radiation above forest canopy (11 m above ground) was collected at site using NR Lite 2 net radiometer, relative humidity, air temperature were collected at 2 m above ground at the site. soil moisture was collectedin the subsurface at 30 cm. The wind speed was collected above the forest canopy at 16.5 m above the ground.
DOI: 10.5067/0zy1xyhniqny
title: IceBridge Accumulation Radar L1B Geolocated Radar Echo Strength Profiles, Version 2
DOI: 10.5067/measures/cryosphere/nsidc-0545.001
title: MEaSUREs InSAR-Based Ice Velocity of the Amundsen Sea Embayment, Antarctica, Version 1
DOI: 10.5067/yv5vowy5v446
title: SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures, Version 3
DOI: 10.5281/zenodo.10391035
title: Dataset of 'Development of a total variation diminishing (TVD) Sea ice transport scheme and its application in in an ocean (SCHISM v5.11) and sea ice (Icepack v1.3.4) coupled model on unstructured grids'

description: As a dataset of the paper "Development of a total variation diminishing (TVD) Sea ice transport scheme and its application in in an ocean (SCHISM v5.11) and sea ice (Icepack v1.3.4) coupled model on unstructured grids" , this dataset includes all configuration files of the idealized case and realistic test on the Arctic Ocean and the source code.
DOI: 10.5281/zenodo.10598441
title: Dataset for "Evaluation of satellite methods for estimating supraglacial lake depth in southwest Greenland"

description: This dataset compliments the paper entitled, "Evaluation of satellite methods for estimating supraglacial lake depth in southwest Greenland", published in The Cryosphere by Melling et al. (2024).

A Creative Commons Attribution license is applied to this dataset meaning the data herein can be re-distributed and re-used pursuant to the condition that appropriate credit is given to the creators.

Please read the README.txt file which accompanies this dataset before using or re-distributing.
DOI: 10.5281/zenodo.4844482
title: Retrieval results for optically thin clouds in the trades

description: ASTER satellite observations at 15 m pixel resolution are used to extract the signal of optically thin clouds during the EUREC4A field campaign (https://doi.org/10.5194/essd-2021-18). The signal of optically thin clouds is derived as a residual from the all-sky minus the simulated clear-sky (https://doi.org/10.5281/zenodo.4842675) and minus the known cloudy signal according to following a common cloud masking scheme. The paper describing the method, dataset, and results is intended for publication in the journal of Atmospheric Chemistry and Physics (ACP) under Mieslinger et al., 2021. The dataset includes basic information of the relevant input variables to clear-sky radiative transfer simulations as well as the resulting probability density function over reflectance values and for discrete flag values (clear-sky, optically thin clouds, clouds) given an ASTER observation. This data builds the basis for any derived quantities such as the area fraction or the expected reflectance corresponding to a certain flag value.
DOI: 10.5281/zenodo.5148741
title: SOCOlv4.0 simulation results for 1980-2018

description: Some simulation results used in the model validation paper in GMD. Yearly mean, zonal mean. For more data, contact the author.
DOI: 10.5281/zenodo.5831574
title: The Regional Coupled Suite (RCS): application of a flexible regional coupled modelling framework to the Indian region at km-scale

description: Supporting data for figures in GMD draft paper: The Regional Coupled Suite (RCS): application of a flexible regional coupled modelling framework to the Indian region at km-scale.
DOI: 10.5281/zenodo.7516408
title: Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany

description: The attached files include the predictive features and the water depth from 2D hydrodynamic simulations that were used to train data driven models to predict water depth in Berlin.
DOI: 10.5285/05fd4030-9c22-4bfe-91c2-0f63ac376ec1
title: Falkland Islands SuperDARN radar high-time resolution meridional meteor winds - 2010 and 2011

description: The data set comprises high-time resolution meteor wind velocity data from the southern hemisphere Falkland Islands radar (FIR), part of the Super Dual Auroral Radar Network (SuperDARN). The velocities are line-of-sight velocities aligned in the geographic meridional direction (from FIR beam 6, range gate 4). The data cover the interval from 2010 to 2011 inclusive. Funding was provided by BAS national capability funding. NERC grant NE/R016038/1 - National Capability - Polar Expertise Supporting UK Research.
description: The data are FIR SuperDARN line-of-sight velocity measurements of winds in the mesosphere lower thermosphere (MLT). The data are from the geographic meridional beam 6, range gate 4 (315 km range). The meteor wind data are measured a few hundred km south of the radar site, and the position is only known approximately. Hence the stated location is an approximate measurement location.
description: The data were measured by the Falkland Islands SuperDARN radar. The raw data were analysed using the SuperDARN FitACF v2.5.
description: The meteor wind data are generally of high quality with low errors. See Chisham and Freeman (2013) for full details regarding data processing.
DOI: 10.5285/1562578dd07844f19f01f0db9366106d
title: ESA Sea Level Budget Closure Climate Change Initiative (SLBC_cci): Time series of global mean sea level budget and ocean mass budget elements (1993-2016, at monthly resolution), version 2.1

description: This dataset is a compilation of time series, together with uncertainties, of the following elements of the global mean sea level budget and ocean mass budget: (a) global mean sea level (b) the steric contribution to global mean sea level, that is, the effect of ocean water density change, which is dominated, on a global average, by thermal expansion (c) the mass contribution to global mean sea level (d) the global glaciers contribution (excluding Greenland and Antarctica) (e) the Greenland Ice Sheet and Greenland peripheral glaciers contribution (f) the Antarctic Ice Sheet contribution (g) the contribution from changes in land water storage (including snow cover). The compilation is a result from the Sea-level Budget Closure (SLBC_cci) project conducted in the framework of ESA’s Climate Change Initiative (CCI). It provides assessments of the global mean sea level and ocean mass budgets. Assessment of the global mean sea level budget means to assess how well (a) agrees, within uncertainties, to the sum of (b) and (c) or to the sum of (b), (d), (e), (f) and (g). Assessment of the ocean mass budget means to assess how well (c) agrees to the sum (d), (e), (f) and (g). All time series are expressed in terms of anomalies (in millimetres of equivalent global mean sea level) with respect to the mean value over the 10-year reference period 2006-2015. The temporal resolution is monthly. The temporal range is from January 1993 to December 2016. Some time series do not cover this full temporal range. All time series are complete over the temporal range from January 2003 to August 2016. For some elements, more than one time series are given, as a result of different assessments from different data sources and methods. Data and methods underlying the time series are as follows: (a) satellite altimetry analysis by the Sea Level CCI project. (b) a new analysis of Argo drifter data with incorporation of sea surface temperature data; an alternative time series consists in an ensemble mean over previous global mean steric sea level anomaly time series. (c) analysis of monthly global gravity field solutions from the Gravity Recovery and Climate Experiment (GRACE) satellite gravimetry mission. (d) results from a global glacier model. (e) analysis of satellite radar altimetry over the Greenland Ice Sheet, amended by results from the global glacier model for the Greenland peripheral glaciers; an alternative time series consists of results from GRACE satellite gravimetry. (f) analysis of satellite radar altimetry over the Antarctic Ice Sheet; an alternative time series consists of results from GRACE satellite gravimetry. (g) results from the WaterGAP global hydrological model.
DOI: 10.5439/1095604
title: ARM: Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate sensitivity mode, cross-polarized mode

description: Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate sensitivity mode, cross-polarized mode
DOI: 10.5439/1644322
title: cogspi.c1

description: COGS is a VAP produced from ARM stereo ring camera images at sites E43a/b, E44a/b and E45 a/b. Three PCCP VAPs produced by each pair of stereo cameras, E43, E44 and E45 will be used to generate a single COGS VAP.
DOI: 10.14291/tccon.ggg2014.sodankyla01.r1
title: TCCON data from Sodankylä (FI), Release GGG2014.R1

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.sodankyla01.R1 <br><br>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 Sodankylä, Finland.
DOI: 10.18739/a20p0wr53
title: Radiosonde temperature and humidity profiles taken at Summit Station, Greenland, 2019

description: This data set contains profiles of temperature and humidity observed by Vaisala radiosondes that are launched nominally twice daily at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. These radiosonde measurements did not initially contain wind tracking information, but transitioned towards including wind tracking in one sonde per data starting in 7/2011, then moving to twice-daily wind sondes in 6/2014. The data are processed using the standard Vaisala processing software. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file.