cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2tx3568p
title: Microwave Radiometer measurements of sky brightness temperature taken at Summit Station, Greenland, 2019

description: This dataset contains measurements of downwelling brightness temperature at 16 frequencies between 22.2 and 150 GHz at approximately 5 s temporal resolution. The observations were made by two radiometers (from Radiometer Physics GmbH) that are time-synced. This dataset contains only sky brightness temperatures; however, these data can be used to retrieve precipitable water vapor, cloud liquid water path, and profiles of temperature in the boundary layer. These radiometers periodically collect elevation scan data (horizon to horizon) that will be used to improve accuracy of the retrieved temperature profiles and to use for in-field calibrations (via tip-curve analysis). The radiometers are calibrated using liquid nitrogen approximately 4 times per year. The raw data are converted into netCDF format. The ICECAPS field operations at Summit are supported by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.14284/530
title: Hyperspectral reflectance dataset for dry, wet and submerged plastics in clear and turbid water

description: This work presents a hyperspectral reflectance dataset of macroplastic samples.
description: This work presents a hyperspectral reflectance dataset of macroplastic samples. Samples analyzed consisted of pristine, artificially weathered and biofouled plastic specimens, and field samples collected in the docks of the Port of Antwerp and from the river Scheldt, near Temse Bridge (Belgium). The hyperspectral signal was measured in controlled conditions in an optical calibration facility, and, for a set of plastic specimens in a mesocosm setting that mimicked environmentally relevant concentrations of microalgae, changing levels of dissolved sediment or clear water. All the hyperspectral measurements were obtained using an Analytical Spectral Devices FieldSpec 4. The instrument was equipped with a 8° field of view at the calibration facility, while a 1° field of view was used in the mesocosm setting.
DOI: 10.1594/pangaea.857799
title: MATLAB code to calculate gas fluxes from chamber-based methods

description: We developed a MATLAB routine which can perform different regressions including residual analysis of data from a wide range of chamber experiment set-ups.
DOI: 10.17882/94032
title: Lagoon hydrodynamics of pearl farming atolls in French Polynesia : the case of Takapoto Atoll (Tuamotu Archipelago)

description: Takapoto Atoll has been instrumented over a period of 4 months (from November 2021 to late March 2022). Physical process such as water level, exchanges between ocean and lagoon through "hoa" and water column stratification have been measured to characterized the hydrodynamic functioning of this enclosed pearl farming atoll. Six moorings have been deployed into lagoon, hoa and external reef slope stations with common autonomous oceanographic instruments measuring at high sampling frequency. Sampling strategy available on Sextant - Marine Geographic Information System. More informations on ANR MANA project.
DOI: 10.21963/13249
title: Shipborne Dissolved Organic Gas Measurements in Depth Profiles and Underway Seawater (Methanol, Acetone, Acetaldehyde, DMS, Isoprene) Amundsen 2017

description: Dissolved concentrations of these gases were measured using a segmented flow coil equilibrator (SFCE) coupled to a Proton Transfer Reaction Mass Spectrometer (PTR-MS). For more information, please refer to Wohl, C., Capelle, D., Jones, A., Sturges, W. T., Nightingale, P. D., Else, B. G. T., and Yang, M.: Segmented flow coil equilibrator coupled to a proton-transfer-reaction mass spectrometer for measurements of a broad range of volatile organic compounds in seawater, Ocean Sci., 15, 925–940, https://doi.org/10.5194/os-15-925-2019, 2019. Detailed description of the installation on board and the data analysis specific to this deployment can be found in the data citation. Briefly, the SFCE-PTR-MS was set up in one of the labs near the front of the ship and used to sample either discrete samples from depth profiles or underway seawater from the main seawater inlet of the ship. The research vessel travelled from Iqaluit northwards through Davis Strait and Baffin Bay to reach Smith Sound. In this area, more intense depth profile sampling was carried out. The vessel then travelled to Pond Inlet and Resolute. Sampling ended south of Resolute in Peel Sound. Depth profiles of dissolved gas concentrations were measured from the Rosette-mounted Niskin bottles as discrete samples from the near surface (about 2 m) to 60 m depth at a total of 21 stations as per availability. The exact sampling depth as determined by the CTD crew is listed in the "CTD concentrations" data file. When logistically feasible at station, a handheld vertical 5 dm^(3) Niskin bottle was deployed off the front starboard side of the ship to sample approximately the top 30 cm from the ocean surface. This was done by bringing the Niskin bottle up from approximately 3 m and firing it just before it reached the surface using rope marks as depth indicators, similar to described in Ahmed et al. (2020). Samples collected with this method are marked as sampled from 0.3 m in the "CTD concentrations" data file. The AMSR2 passive microwave sea ice concentration (SIC) satellite product (daily, 3.125 km x 3,125 km resolution) (Spreen et al., 2008) was used to create a time series of sea ice concentration along the cruise track.
description: Methanol, acetone, acetaldehyde, DMS and isoprene were measured in seawater in the Canadian Arctic. The aim was twofold; first we aimed to understand the impact of different sea ice concentrations on the dissolved concentrations of these gases, second, these measurements allow a better constraint of the global ocean source/sink strength of these gases. To our knowledge, these measurements represent the first measurements of methanol, acetone, acetaldehyde and isoprene in seawater in the Canadian Arctic and in the sea ice zone in general. These measurements allow an assessment of the impact of air-sea exchange on the local atmospheric concentrations of these gases and thus their impact on aerosol and oxidative capacity.
DOI: 10.25914/5f1664837ef06
title: Derived Optimal Linear Combination Evapotranspiration - DOLCE v2.1
DOI: 10.5063/f1ff3qs3
title: Gaps in Network Infrastructure limit our understanding of biogenic methane emissions in the United States

description: Using multidimensional scaling and a cluster analysis, the US was divided into 10 clusters that were distributed across temperature and wetness gradients (2010-2020). We evaluated the distance to the medoid condition within each cluster. This dataset includes the representative analysis for the US, excluding the locations of EC tower sites, which cannot be provided due to privacy concerns for a small subset of towers.Evaluating the strengths and limitations of existing measurement infrastructure is critical for strategic augmentation to provide the most valuable information toward reducing uncertainties in future large-scale budget estimations. To accurately understand the impact of climate and land cover change on biogenic CH4 emissions, we need a long-term, calibrated, and strategic continental-scale CH4 observatory network. Current gaps in existing measurement infrastructure limit our ability to capture the spatial and temporal variations of biogenic CH4 fluxes and therefore limit our ability to predict future CH4 emissions. Maps of potential CH4 emissions require land cover classification targeted at land cover types like wetlands that are important sources of CH4 to the atmosphere. Aquatic ecosystems like streams and lakes as well as coastal ecosystems are significant and variable sources of CH4 not well studied on a long-term basis. Through our analysis using climate, land cover, and location variables, we have identified priority areas to enhance research infrastructure to provide a more complete understanding of the CH4 flux potential of ecosystem types in the US. For EC tower locations, distance to the medoid coverage was lacking for clusters Na, W, and Nb, and currently clusters Na, W, Eb, and Nb are substantially under sampled. All aquatic sites are under sampled within each cluster. An enhanced network would allow for us to monitor both the response of CH4 fluxes to climate and land use change as well as the impact of future policy interventions and mitigation strategies.
DOI: 10.5281/zenodo.14525532
title: The Influence of Study Quality, Age, and Geographic Factors on Polycystic Ovary Syndrome Prevalence-A Systematic Review and Meta-Analysis (Supplemental data)

description: Supplemnatray data for manuscript tentatively entitled "The Influence of Study Quality, Age, and Geographic Factors on Polycystic Ovary Syndrome Prevalence-A Systematic Review and Meta-Analysis", including: 

Supplementary Table 1. Search strategy and its results including studies published until February 29th of 2024.

Supplementary Table 2. The quality assessment results of studies conducted on adults based on the Polycystic ovary syndrome (PCOS) Epidemiology and Phenotype (PEP) tool. 

Supplementary Table 3. The quality assessment results of studies conducted on adolescents based on the Polycystic ovary syndrome (PCOS) Epidemiology and Phenotype (PEP) tool. 

Supplementary Table 4. The quality assessment results of studies conducted on mixed populations (both adults and adolescents) based on PCOS Epidemiology and Phenotype (PEP) tool. 

Supplementary Figure 1 (A-D). Forest plots of global PCOS prevalence stratified by diagnostic criteria (regardless of study quality, age group, and geographic region): A) NIH, B) Rotterdam, C) AE-PCOS, D) Self-report: A) NIH, B) Rotterdam, C) AE-PCOS, D) Self-report.

Supplementary Figure 2 (A-C). Forest plots of global PCOS prevalence stratified by WHO region and diagnostic criteria (regardless of study quality and age group): A) NIH, B) Rotterdam, C) AE-PCOS.

Supplementary Figure 3 (A-C). Forest plots of PCOS prevalence stratified by diagnostic criteria and age group (adults vs. adolescent) (regardless of study quality): A) NIH, B) Rotterdam, C) AE-PCOS.

Supplementary Figure 4 (A-C). Sensitivity Analysis based on high-quality studies: Impact of individual study exclusion on pooled prevalence (using high-quality studies only)- A) NIH, B) Rotterdam, C) AE-PCOS.
DOI: 10.5281/zenodo.4001565
title: Antarctic time series of temperature, precipitation, and stable isotopes in precipitation from the ECHAM5/MPI-OM-wiso past1000 climate model simulation

description: This data set contains time series of two-metre air temperature (tas), surface temperature (ts), total precipitation (pr), oxygen-18 isotopic composition in precipitation (oxy), and deuterium isotopic composition in precipitation (dtr) from the past-millennium (800-1999 CE) simulation of the fully coupled ECHAM5/MPI-OM-wiso atmosphere-ocean general circulation model equipped with stable isotope diagnostics (Sjolte et al., 2018, Werner et al., 2016) used in the publication of Münch et al. (2021). The data here are provided for the Antarctic region, i.e., all model grid cells south of 60° S. The model's atmospheric component was run with a T31 spectral resolution (3.75° x 3.75°) and with 19 vertical levels, resulting in a total of N = 768 model grid cells covered by this data set. Note, however, that all time series off the continent of Antarctica have been set to NA values, so that the effectively available number of model grid cells is N<sub>eff</sub> = 442. Time series are provided at the original monthly resolution of the model output and on annual resolution obtained from the monthly resolution data. At annual resolution, the temperature and isotopic composition data are available as normal time averages and as precipitation-weighted time averages. In addition to the time series, the spatial field of time-invariant means is supplied, also as normal and precipitation-weighted time averages. Data are available as netcdf files and as R data files. In addition, processing code (bash and R scripts) are provided to reproduce the processing from monthly to annnual and time-invariant resolution and to read the data into the R data format. To process the R data, you will need the CRAN packages "ncdf4" and "lubridate", and the package "pfields" available on GitHub (see References).
description: {"references": ["pfields: An R package to analyse gridded field data. https://github.com/EarthSystemDiagnostics/pfields"]}
DOI: 10.5281/zenodo.4419804
title: A New Global Gridded Sea Surface Temperature Data Product Based on Multisource Data

description: The SSTG dataset is a global sea surface temperature data during the period of 2002-2019, in Celsius, in monthly temporal and 0.041° spatial resolution. It is produced by combing daily in situ SST data and daily satellite SST retrieval data from two infrared (MODIS and AVHRR) and three passive microwave (AMSR-E, AMSR2, Windsat) radiometers after calibration by using a temperature depth and observation time correction model. The accuracy assessments indicate that the reconstructed dataset exhibits significant improvements and can be used for mesoscale ocean phenomenon analyses.
DOI: 10.5281/zenodo.6155516
title: UGS-1m: Fine-grained urban green space mapping of 34 major cities in China based on the deep learning framework

description: Urban green space (UGS) is an important component in the urban ecosystem and has great significance to the urban ecological environment. The UGS-1m product provides the fine-grained UGS maps of 34 major cities/areas in China, which is generated based on a deep learning (DL) framework. The DL framework consists of a generator and a discriminator. The generator is a fully convolutional network designed for UGS extraction (UGSNet), which integrates attention mechanisms to improve the discrimination to UGS, and employs a point rending strategy for edge recovery. The discriminator is a fully connected network aiming to deal with the domain shift between images. To support the model training, an urban green space dataset (UGSet) with a total number of 4,454 samples of size 512×512 is provided. Code for the UGSet and the UGSet will be soon available at: https://github.com/liumency/UGS-1m. The main steps to obtain UGS-1m can be summarized as follows: a) Firstly, the UGSNet will be pre-trained on the UGSet in order to get a good starting training point for the generator; b) After pre-training on the UGSet, the discriminator is responsible to adapt the pre-trained UGSNet to different cities/areas through adversarial training; c) Finally, the UGS results of the 34 major cities/areas in China (UGS-1m) are obtained using 2,343 Google Earth images with a data frame of 7'30" in longitude and 5'00" in latitude, and a spatial resolution of nearly 1.1 meters. Evaluating the performance of the proposed approach on samples from Guangzhou city shows the validity of the UGS-1m products, with an overall accuracy of 87.4% and an F1 score of 81.14%.
DOI: 10.5281/zenodo.6338400
title: MPAS-Albany Land Ice model simulations of Humboldt Glacier, North Greenland, from 2007–2100

description: This dataset contains model input and output in netCDF format, model code, and analysis scripts for simulations of Humboldt Glacier, North Greenland, through the 21st century (Hillebrand et al., 2022) using the MPAS-Albany Land Ice model (Hoffman et al., 2018). We calibrate parameters controlling basal traction, iceberg calving, and submarine melt against observations from 2007–2017. We then explore the glacier’s sensitivity to climate forcing, iceberg calving, and basal conditions in an ensemble of 24 simulations from 2007–2100. We further explore its sensitivity to uncertainties in ice-shelf melt, bed topography, and calving rate limits in targeted sensitivity experiments. Input files include surface mass balance, ocean thermal forcing, and subglacial runoff forcings provided by ISMIP6 (Nowicki et al., 2020; Slater et al., 2020). Output includes basal traction optimization solutions for the year 2007; annual 2D ice speed, basal shear and driving stresses, and geometry; annual 3D temperature; and grounded, floating, and global mass budgets at every timestep. References: Hillebrand, T. R., Hoffman, M. J., Perego, M., Price, S. F., and Howat, I. M. (2022): The contribution of Humboldt Glacier, northern Greenland, to sea-level rise through 2100 constrained by recent observations of speedup and retreat, The Cryosphere, 16, 4679–4700, https://doi.org/10.5194/tc-16-4679-2022. Hoffman, M. J., Perego, M., Price, S. F., Lipscomb, W. H., Zhang, T., Jacobsen, D., et al. (2018). MPAS-Albany Land Ice (MALI): a variable-resolution ice sheet model for Earth system modeling using Voronoi grids. <em>Geoscientific Model Development</em>, <em>11</em>(9), 3747–3780. https://doi.org/10.5194/gmd-11-3747-2018 Nowicki, S., Goelzer, H., Seroussi, H., Payne, A. J., Lipscomb, W. H., Abe-Ouchi, A., et al. (2020). Experimental protocol for sea level projections from ISMIP6 stand-alone ice sheet models. <em>The Cryosphere</em>, <em>14</em>(7), 2331–2368. https://doi.org/10.5194/tc-14-2331-2020 Slater, D. A., Felikson, D., Straneo, F., Goelzer, H., Little, C. M., Morlighem, M., et al. (2020). Twenty-first century ocean forcing of the Greenland ice sheet for modelling of sea level contribution. <em>The Cryosphere</em>, <em>14</em>(3), 985–1008. https://doi.org/10.5194/tc-14-985-2020
DOI: 10.5281/zenodo.6389405
title: Implementation and sensitivity analysis of a Dam-Reservoir OPeration model (DROP v1.0) over Spain - Supplement

description: Supplement of the following scientific paper submitted in GMD : <strong>Sadki M., Munier S., Boone A., Ricci S. : Implementation and sensitivity analysis of a Dam-Reservoir OPeration model (DROP v1.0) over Spain, Geoscientific Model Development, 2022. </strong>
description: This repository includes the DROP model (resmodel) and the sensitivity analysis (SA) codes from the study conducted in this paper. The post-processing code (postproc) is also available.
DOI: 10.5281/zenodo.7437333
title: Meteorological responses of carbon dioxide and methane fluxes in the terrestrial and aquatic ecosystems of a subarctic landscape [Data set]

description: The data set contains carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) fluxes of boreal subarctic landscape and its ecosystems and ecotones, and ancillary meteorological and environmental data, measured at Kaamanen, northern Finland (69°8’ N, 27°16’ E; 155 m a.s.l.), during June 2017 - June 2019. The studied ecosystems and ecotones include: upland pine forest, fen, treed pine bog, sparsely treed pine bog, lakes and string top fen plant community. C_fluxes1b_Heiskanen_et_al_2022.csv includes quality screened, u* filtered and gap-filled eddy covariance ecosystem flux data and modelled pine bog and string top time series utilising eddy covariance and manual flux chamber measurements. C_fluxes2_Heiskanen_et_al_2022.csv includes quality screened daily average lake fluxes from mineral and organic sediment lakes. environmental_data_Heiskanen_et_al_2022.xlsx includes ancillary meteorological and environmental data.
description: This work was supported by the Finnish Meteorological Institute, the University of Helsinki, the Natural Resources Institute Finland, the University of Eastern Finland and the Academy of Finland CAPTURE-project (Carbon dynamics across Arctic landscape gradients: past, present and future) grant (grant no. 296888 and 296423) and Maj and Tor Nessling foundation (grant no. 202000391).
DOI: 10.5285/f17f146a31b14dfd960cde0874236ee5
title: ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 25km grid spacing, version 2.1

description: The dataset provides a Climate Data Record of Sea Ice Concentration (SIC) for the polar regions, derived from medium resolution passive microwave satellite data from the Advanced Microwave Scanning Radiometer series (AMSR-E and AMSR-2). It is processed with an algorithm using medium resolution (19 GHz and 37 GHz) imaging channels, and has been gridded at 25km grid spacing. This version of the product is v2.1, which is an extension of the v2.0 Sea_Ice_cci data and has identical data until 2015-12-25. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project. The EUMETSAT OSI SAF contributed with access and re-use of part of its processing software and facilities. A SIC CDR at 50 km grid spacing is also available.
DOI: 10.5439/1883167
title: EASTERN NORTH ATLANTIC (ENA) CONDENSATION PARTICLE COUNTER (CPC) with the AEROSOL MASK (ENA-AM) for the YEAR 2017

description: The Eastern North Atlantic (ENA) central facility is periodically affected by episodes of local aerosols. High-concentration aerosol events associated with potential local aerosol sources are sampled by the Concentration Particle Counter (CPC) and can be observed in the high-time-resolution data. In an effort to remove aerosol data that is not regionally representative from the CPC data, an aerosol mask (ENA-AM) has been previously developed and validated during the ACE-ENA campaing (Gallo et al., 2020). The ENA-AM is a standard deviation algorithm based on the statistically different behavior of adjacent data points used to determine periods when the measurements are impacted by local aerosols. This file contain one-minute time resolution submicron aerosol particle concentration datasets from the CPC for the year 2017, and the corresponding ENA-AM datasets to remove datapoints affected by local aerosol sources.
DOI: 10.15489/9jhr18jepi65
title: TanDEM-X - PolarDEM - Antarctica, 90m

description: The TanDEM-X PolarDEM is a project developed by the German Remote Sensing Data Center (DFD) at the German Aerospace Center (DLR) within the activities of the TanDEM-X mission. It is a framework for the provision of derivatives of the global Digital Elevation Model (DEM) of the TanDEM-X mission for Polar Regions. The TanDEM-X PolarDEM 90m of Antarctica is a gap-free and edited version of the TanDEM-X 90m digital elevation model (DEM). The TanDEM-X PolarDEM 90m of Antarctica is provided in Antarctic Polar Stereographic projection (EPSG:3031) with a pixel spacing of 90 meters. The DEM elevation values represent ellipsoidal heights relative to the WGS84 ellipsoid. The majority of the data were acquired between April 2013 and October 2014. The TanDEM-X PolarDEM 90m of Antarctica is split into four tiles. For more information concerning the TanDEM-X PolarDEM, the reader is referred to: https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-11882/20871_read-66374/
DOI: 10.15489/ju28hc7pui09
title: TanDEM-X - Digital Elevation Model (DEM) - Global, 90m

description: TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurements) is an Earth observation radar mission that consists of a SAR interferometer built by two almost identical satellites flying in close formation. With a typical separation between the satellites of 120m to 500m a global Digital Elevation Model (DEM) has been generated. The main objective of the TanDEM-X mission is to create a precise 3D map of the Earth's land surfaces that is homogeneous in quality and unprecedented in accuracy. The data acquisition was completed in 2015 and production of the global DEM was completed in September 2016. The absolute height error is with about 1m an order of magnitude below the 10 m requirement. The TanDEM-X 90m DEM is a product variant of the global Digital Elevation Model (DEM) acquired in the frame of the German TanDEM-X mission between 2010 and 2015, and has a reduced pixel spacing of 3 arcseconds, which corresponds to 90m at the equator. It covers all Earth’s landmasses from pole to pole. For more information concerning the TanDEM-X 90m DEM, the reader is referred to: https://tandemx-90m.dlr.de/ For more information concerning the TanDEM-X mission, the reader is referred to: https://www.dlr.de/dlr/en/desktopdefault.aspx/tabid-10378/