cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25413/sun.24297940
title: Exploring Transition Tensions in Public Opinion on the COP26 Coal Phase-out Deal for South Africa as Expressed on Facebook

description: The primary focus of this study is the analysis of public discourse on social media concerning the COP26 coal phase-out deal and its implications for South Africa's energy landscape. Facebook, as a platform for public deliberation and opinion formation, provides an intriguing case study for understanding how the general populace receives, discusses, and critiques environmental policies. Our qualitative approach, utilizing sentiment and thematic analyses, delves deep into these discussions, revealing the multifaceted nature of public opinion.The dataset comprises 31 news posts shared by South African news media discussing the COP26 coal phase-out deal. The search terms used included "COP26," "COP26, energy," and "COP26, transition." These 31 news articles, included in the study, were posted between November 2, 2021, and January 1, 2022.
DOI: 10.25413/sun.24297940.v1
title: Exploring Transition Tensions in Public Opinion on the COP26 Coal Phase-out Deal for South Africa as Expressed on Facebook

description: The primary focus of this study is the analysis of public discourse on social media concerning the COP26 coal phase-out deal and its implications for South Africa's energy landscape. Facebook, as a platform for public deliberation and opinion formation, provides an intriguing case study for understanding how the general populace receives, discusses, and critiques environmental policies. Our qualitative approach, utilizing sentiment and thematic analyses, delves deep into these discussions, revealing the multifaceted nature of public opinion.The dataset comprises 31 news posts shared by South African news media discussing the COP26 coal phase-out deal. The search terms used included "COP26," "COP26, energy," and "COP26, transition." These 31 news articles, included in the study, were posted between November 2, 2021, and January 1, 2022.
DOI: 10.15468/dl.t3qvgy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chomelia pringlei S.Watson)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017664-250127130748423/datasets/export for details.
DOI: 10.5519/qd.1z9kului
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5934664 records)
DOI: 10.15468/dl.w4pbm8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chomelia protracta (Bartl. ex DC.) Steyerm.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017665-250127130748423/datasets/export for details.
DOI: 10.6084/m9.figshare.28358441
title: Supplementary Materials: Semantic alignment of organizational strategic direction statements with the sustainable development goals

description: This project presents a systematic approach that evaluates the semantic alignment of organizational strategic statements with the SDGs by leveraging the capability of Large Language Models (LLMs) in semantic similarity and relatedness tasks. Viewing as a multi-criteria decision-making (MCDM) problem and recognizing the limitations of LLMs, we posit that the evaluations be represented as intuitionistic fuzzy sets (IFS), which prompted the development of an IF extension of the PROBID (Preference Ranking On the Basis of Ideal-average Distance) method. The proposed IF-PROBID method was then deployed to evaluate the 47 top Philippine corporations.
DOI: 10.6084/m9.figshare.28358441.v1
title: Supplementary Materials: Semantic alignment of organizational strategic direction statements with the sustainable development goals

description: This project presents a systematic approach that evaluates the semantic alignment of organizational strategic statements with the SDGs by leveraging the capability of Large Language Models (LLMs) in semantic similarity and relatedness tasks. Viewing as a multi-criteria decision-making (MCDM) problem and recognizing the limitations of LLMs, we posit that the evaluations be represented as intuitionistic fuzzy sets (IFS), which prompted the development of an IF extension of the PROBID (Preference Ranking On the Basis of Ideal-average Distance) method. The proposed IF-PROBID method was then deployed to evaluate the 47 top Philippine corporations.
DOI: 10.5281/zenodo.14631014
title: Anisotropic Scattering in Radio-Echo Sounding: Insights from Northeast Greenland - Data

description: Data accompanying the paper: 

Gerber, T. A., Lilien, D. A., Nymand, N. F., Steinhage, D., Eisen, O., & Dahl-Jensen, D. (2024). Anisotropic Scattering in Radio-Echo Sounding: Insights from Northeast Greenland. The Cryosphere, 2025.

Code for data post-processing is available on github: https://doi.org/10.5281/zenodo.14823653

profiles.zip  contains synthesized radar response at 5 km intervals along radar lines.

Each .mat file contains following: idx = trace number, lat = latitude, lon= longitude, z = depth in m, time = time in seconds, dPhv = cross-polarized synthesized power anomaly, dPhh = co-polarized synthesized power anomaly, chhvv = coherence phase difference, phaseder = gradient of coherence phase, drivingDirection = direction of driving ( orientation of V), drivingSigma = standard deviation of driving direction over 20 averaged traces. 

curveFitting.zip  contains amplitude and phase of 180- and 90-degree sinusoidal signal components fitted to the co-polarized power anomaly.

*20trace_average.mat contain fitted signal at depths of 800 m, 1000 m, 1500 m and 2000 m. Parameters include the above and additionally: coherenceMag = magnitude of phase coherence, curvefit180 = fitted 180 degree signal at 4 different depths, curvefit90 = fitted 90 degree signal at 4 different depths, maxAmp180/90 = maximum 180-degree/90-degree signal amplitude, maxAmpDir180/90 = azimuth of highest 180-/90-degree amplitude, rmse180/90 = root mean square error of 180-/90-degree fit, sse180/90 = sum of squared errors for 180-/90-degree fit, rsquare180/90 = R² for 180-/90-degree fit. 

 

 *20trace_average_highres.mat contain signal fitted at 20 m depth intervals. Same parameters as above. 

 

traveltime-anisotropy.zip contains apparent horizontal eigenvalue difference derived from travel time differences following Gerber et al., 2023 (https://doi.org/10.1038/s41467-023-38139-8) 

scatteringOrientation_800.zip, scatteringOrientation_1000.zip, scatteringOrientation_1500.zip, scatteringOrientation_2000.zip contain shape files with orientation and strength of scattering (180 degree) signal
DOI: 10.1594/pangaea.858178
title: Nitrous oxide measured on water bottle samples during METEOR cruise M91
DOI: 10.1594/pangaea.884281
title: Physical oceanography from glider mission ifm08_depl05 (old version)

description: New version is https://doi.pangaea.de/10.1594/PANGAEA.892547.
DOI: 10.1594/pangaea.899565
title: Airborne radar reflectivity and brightness temperature measurements with POLAR 5 during ACLOUD in May and June 2017

description: During the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign in summer 2017 conducted from Longyearbyen/Svalbard, a combination of active and passive microwave instruments MiRAC (Microwave Radar/radiometer for Arctic Clouds) has been operated on board of the Polar 5 research aircraft of the Alfred-Wegener Institute for polar and ocean research (AWI). MiRAC contains a Frequency Modulated Continuous Wave (FMCW) radar at 94 GHz mounted in a belly pod under 25deg backwards inclined with respect to nadir. Included is also the 89 GHz passive channel and a passive microwave instrument with six channels in the 183 GHz water vapor line and channels at 243 and 340 GHz installed nadir pointing in the cabin. The data set was collected during approximately 80 flight hours in May/June 2017 northwest of Svalbard over the Arctic ocean and sea ice. It contains the unfiltered reflectivity profiles as well as the filtered profiles. Both profiles are corrected for aircraft motion and instrument/aircraft orientation. The filters consider disturbances due to the signal processing, side lobe effects, and removal of speckles. Furthermore, quality flags for the radar reflectivity are included in the data set. For the passive component, the brightness temperatures at 89 GHz are included without considering the observation geometry. The data set is completed by information recorded by the aircraft system (latitude, longitude, flight height, pitch, roll, and flight speed). The data are stored as netCDF format and each file contains data for one research flight (except for the 17th and 23rd of June 2017). For the higher passive microwave channels a separate dataset will be provided. For detailed information on the instruments and the processing see Mech et al. 2019 (doi:10.5194/amt-2019-151).The campaign ACLOUD is described in Wendisch et al. 2018 (doi:10.1175/BAMS-D-18-0072.1).
description: Please note, that on 2019-07-29 the lat/long within the netCDF files RF05, RF06 and RF07 was corrected.--This dataset has not been correctly processed, and access to the data is therefore restricted. A new version of the dataset is within https://doi.pangaea.de/10.1594/PANGAEA.965027 (see also replace by reference).
description: Supplement to: Mech, Mario; Kliesch, Leif-Leonard; Anhäuser, Andreas; Rose, Thomas; Kollias, Pavlos; Crewell, Susanne (2019): Microwave Radar/radiometer for Arctic Clouds (MiRAC): first insights from the ACLOUD campaign. Atmospheric Measurement Techniques, 12(9), 5019-5037
DOI: 10.1594/pangaea.909627
title: High-resolution methane concentrations measurements of the Lock-In firn and ice core (108-200 m depth)

description: Methane data obtained with a Continuous Flow Analysis system at the Institut des Geosciences de l'Environnement, Grenoble, FranceGas_age chronology obtained with a synchronization with the WAIS Divide ice core
DOI: 10.17632/nw5m4hs3jr.2
title: Corona-virus disease (COVID-19) Data-set with Improved Measurement Errors of Referenced Official Data Sources

description: This dataset is the result of a study on the quality of official datasets available for COVID-19. We used comparative statistical analysis to evaluate the accuracy of data collection by a national (Chinese Center for Disease Control and Prevention) and two international (World Health Organization; European Centre for Disease Prevention and Control) organisations based on the value of systematic measurement errors. The data is collected by using text mining techniques and reviewing reports, metadata, and reference data. The combined dataset includes complete spatial data such as countries area, standard country codes (M49 code), Alpha-2 codes, Alpha-3 codes, latitude, longitude, and some additional attributes such as population. The data of China is presented in more detail in another sheet, which is extracted from the attached reports to the main page of the CCDC website. Additionally, it is beneficiary of major corrections on the referenced data-sets and official reports such as adjustment of the date of reports (which was suffering from one or two days lags), removing four negative values, detecting unreasonable changes of historical data in new reports (which was revealed by comparing the daily reports), and finally the corrections on systematic measurement errors, (which was increased by the increase of the number of infected countries). An aggregated root mean square error was used to identify the main problematic parts of data-sets in addition to comparative statistical analysis to evaluate the errors. The result is a combined dataset with improved systematic measurement errors and with some new attributes in addition to the normal attributes of SARS-CoV-2 and cronavirus disease, such as daily mortality, and fatality rates. This data-set could be considered as a comprehensive and reliable source of COVID-19 data for further studies.
DOI: 10.17882/71591
title: Trace Element Composition of Plankton from the Qatari Exclusive Economic Zone (EEZ) of the Arabian Gulf

description: Samples from the Marine Exclusive Economic Zone of Qatar and the Arabian Gulf were collected using net tows with mesh sizes of 50 μm (phytoplankton) and 200 μm (zooplankton) to examine the composition of size fractionated plankton populations. Samples were collected in two different years from 11 locations to examine temporal and spatial variabilities. The biogenic concentrations of trace metals were determined by correcting the bulk analyses for the lithogenic contribution using aluminum as a lithogenic tracer. The elemental composition of atmospheric dust from Qatar was used for this correction. Dust in Qatar is depleted in aluminum and enriched in calcium relative to global average Upper Continental Crust due to the geology of the outcropping sedimentary rocks and topsoil in the source areas of the dust.The excess concentrations relative to average dust from Qatar for most trace elements decreased with distance from shore. This may be due to large scale of dust input to the nearshore surface waters in the Gulf. This is an aspect of this study that warrants more research.
DOI: 10.5066/f7kw5d4h
title: Water-quality and streamflow datasets used in the Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nations rivers and streams, 1972-2012

description: In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring has been conducted on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS and other Federal, State, and local agencies also have collected long-term water-quality data to support their own assessments of changing water-quality conditions. Data from these multiple sources have been combined to support one of the most comprehensive assessment conducted to date of water-quality trends in the United States. Ultimately, these data will provide insight into how natural features and human activities have contributed to water-quality changes over time in Nations streams and rivers. This USGS data release contains all of the input and output files necessary to reproduce the results from the Weighted Regressions on Time, Discharge, and Season (WRTDS) models described in the associated U.S. Geological Survey Scientific Investigations Report (http://dx.doi.org/10.3133/sir20175006). Data preparation for input to the models is also fully described in the above-mentioned report.
DOI: 10.5067/modis/cldprop_l2_modis_aqua.011
title: MODIS/Aqua Cloud Properties 5-Min L2 Swath 1 km
DOI: 10.5067/modis/myd06_l2.061
title: MYD06_L2 MYD06_L2 MODIS/Aqua Clouds 5-Min L2 Swath 1km and 5km
DOI: 10.5067/viirs/cldprop_l2_viirs_snpp.011
title: VIIRS/Suomi-NPP Cloud Properties 6-Min L2 Swath 750 m
DOI: 10.5281/zenodo.2640763
title: Grid for T-UGO

description: The file corresponds to the grid used in T-UGO simulations described in the paper entitled "Sensitivity study on the main tidal constituents of the Gulf of Tonkin by using a frequency-domain tidal solver". It integrates the bathymetry and the coastlines developped for this specific study.
DOI: 10.5281/zenodo.2640793
title: T-UGO configuration's files

description: The file spectral-CQN1xCQP0.intg is the initial configuration file for T-UGO. In this case, the friction coefficient (Cd) is set at 2.5x10<sup>-3</sup> m for a quadratic flow. The file Cd_0.9e-3.intg corresponds to a configuration file with Cd=0.9x10<sup>-3</sup> m. This is an example of the modifications that have to be applied to the configuration file, when playing with different values of Cd, z0 and different types of flow (quadratic, logarithmic of linear).
DOI: 10.5281/zenodo.3250692
title: Raw stable water isotope measurements in water vapour, made in the austral summer of 2016/2017 during the Antarctic Circumnavigation Expedition.

description: ***** Dataset abstract ***** This dataset includes the raw data of stable water vapour isotope (δ<sup>18</sup>O, δ<sup>2</sup>H, deuterium excess) and water vapour mixing ratio measurements taken in the Southern Ocean during the Antarctic Circumnavigation Expedition (ACE) from November 2016 to April 2017 using a Picarro laser spectrometer L2130. This data has to be calibrated using the calibration runs and applying an appropriate calibration procedure following the IAEA guide lines. ***** Dataset contents ***** year/month/day/HIDS2054-${year}${month}${day}-${time:Hhmmss}Z-DataLog_User.dat, data file, comma-separated values<br> data_file_header.txt, metadata, text format<br> README.md, metadata, text format
description: The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals.
description: {"references": ["Thurnherr, I., Kozachek, A., Graf, P., Weng, Y., Bolshiyanov, D., Landwehr, S. J., Pfahl, S., Schmale, J., Sodemann, H., Steen-Larsen, H. C., Toffoli, A., Wernli, H. and Aemisegger, F.: Meridional and vertical variations of the marine boundary layer water vapour isotope composition in the Atlantic and the Southern Ocean. In prep. for ACP, 2019", "IAEA: Reference Sheet for VSMOW2 and SLAP2 international measurement standards, International Atomic Energy Agency (IAEA), 2009", "David W H Walton, & Jenny Thomas. (2018, November 22). Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017 (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.1443511"]}
DOI: 10.5281/zenodo.3473833
title: Evaluation and Calibration of a Low-cost Particle Sensor in Ambient Conditions Using Machine Learning Methods

description: Particle sensing technology has shown great potential for monitoring particulate matter (PM) with very few temporal and spatial restrictions because of its low-cost, compact size, and easy operation. However, the performance of low-cost sensors for PM monitoring in ambient conditions has not been thoroughly evaluated. Monitoring results by low-cost sensors are often questionable. In this study, a low-cost fine particle monitor (Plantower PMS 5003) was co-located with a reference instrument, named Synchronized Hybrid Ambient Real-time Particulate (SHARP) monitor, in Calgary Varsity air monitoring station from December 2018 to April 2019. The study evaluated the performance of this low-cost PM sensor in ambient conditions and calibrated its readings using simple linear regression (SLR), multiple linear regression (MLR), and two more powerful machine learning algorithms using random search techniques for the best model architectures. The two machine learning algorithms are XGBoost and feedforward neural network (NN). Field evaluation showed that the Pearson r between the low-cost sensor and the SHARP instrument was 0.78. Fligner and Killeen (F-K) test indicated a statistically significant difference between the variances of the PM<sub>2.5 </sub>values by the low-cost sensor and by the SHARP instrument. Large overestimations by the low-cost sensor before calibration were observed in the field and were believed to be caused by the variation of ambient relative humidity. The root mean square error (RMSE) was 9.93 when comparing the low-cost sensor with the SHARP instrument. The calibration by the feedforward NN had the smallest RMSE of 3.91 in the test dataset, compared to the calibrations by SLR (4.91), MLR (4.65), and XGBoost (4.19). After calibrations, the F-K test using the test dataset showed that the variances of the PM<sub>2.5</sub> values by the NN and the XGBoost and by the reference method were not statistically significantly different. From this study, we conclude that feedforward NN is a promising method to address the poor performance of the low-cost sensors for PM<sub>2.5</sub> monitoring. In addition, the random search method for hyperparameters was demonstrated to be an efficient approach for selecting the best model structure.
description: The project was funded by Natural Sciences and Engineering Research Council of Canada (NSERC) Engage Program, the fund number is EGP 521823–17.
DOI: 10.5281/zenodo.3580078
title: Laboratory spectral reflectance measurements of pine/spruce twigs and snow

description: The dataset contains laboratory spectral reflectance (350-2500 nm) measurements of natural snow samples and pine and spruce twigs measured with an ASD Field Spec Pro JR spectroradiometer. For snow types sampled, in situ snow measurements are accompanied with the reflectance data. The measurements have been conducted at the premises of the Arctic Space Centre of the Finnish Meteorological Institute, Sodankylä, Finland (N67.361833, E26.634154, WGS84). The data are structured as CSV-files. Snow specific surface area (SSA) information and photographs of the snow samples are available for part of the measured snow types and are organized into separate folders. For this version a data example plot (Data_example_laboratory.png) was added to have a quick visualisation of the sort of the data available. For further information contact Henna-Reetta Hannula (henna-reetta.hannula@fmi.fi) or Kirsikka Heinilä (kirsikka.heinila@ymparisto.fi)