cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3600201
title: Bangladesh - Tropical Cyclone Historical Catalogue

description: <strong>Gridded data for major historical tropical cyclones over Bangladesh.</strong> Each tropical cyclone has a 9 member ensemble, and comprises of time series and footprints at resolutions of 4.4km and 1.5km based on the Met Office Unified Model dynamically downscaling ECMWF ERA5 data. There are 12 available variables, including: air temperature, maximum wind gust speed, minimum air pressure at sea level and precipitation amounts, available at a range of temporal scales, including model instantaneous values, and hourly and daily aggregations. The catalogue contains the following tropical cyclones (landfall date): <strong>BOB01</strong> (30/04/1991 00:00), <strong>BOB07</strong> (25/11/1995 09:00), <strong>TC01B</strong> (19/05/1997 15:00), <strong>Akash</strong> (14/05/2007 18:00), <strong>Sidr</strong> (15/11/2007 18:00), <strong>Rashmi</strong> (26/10/2008 21:00), <strong>Aila</strong> (25/05/2009 06:00), <strong>Viyaru</strong> (16/05/2013 09:00), <strong>Roanu</strong> (21/05/2016 12:00), <strong>Mora</strong> (30/05/2017 03:00), <strong>Fani</strong> (04/05/2019 06:00), <strong>Bulbul</strong> (09/11/2019 18:00).. <strong>File Types</strong> <strong>tsens.*.tar.gz </strong>Time series data for each named storm. Dimensions are typically: forecast_period, forecast_reference_time, latitude and longitude. Compressed tar archive containing multiple netCDF files. <strong>fpens.*.tar.gz </strong>Time-aggregated data for each ensemble member for each storm. Variables: max gust speed (fg), minimum sea-level pressure (psl), instantaneous u-wind (ua) and v-wind (va) components. Dimensions are typically: forecast_reference_time, latitude and longitude. Compressed tar archive containing multiple netCDF files. <strong>fp.fg.T1Hmax.tar.gz </strong>A single best estimate gust-speed (fg) footprint with lower, median and upper bounds accounting for ensemble variation, for each names storm. Compressed tar archive containing multiple netCDF files. <strong>fp.Rmodels.fg.tar.gz </strong>R GAM model data used to create best estimate netCDF footprints. Compressed tar archive containing output from <em>mgcv</em> gam model saved as an Rdata file. <strong>storm_tracks.tar.gz </strong>Storm tracks for each ensemble member of each names storm from Tempest Extremes tracking algorithm. Compressed tar archive containing multiple .DAT text files.
description: This data is part of the Oasis Platform for Climate and Catastrophe Risk Assessment – Asia (https://www.international-climate-initiative.com/en/nc/details/project/oasis-platform-for-climate-and-catastrophe-risk-assessment-asia-18_II_165-3018), a project funded by the International Climate Initiative (IKI), supported by the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety, based on a decision of the Germany Bundestag
description: {"references": ["Tropical cyclone simulations over Bangladesh at convection permitting 4.4\u2009km & 1.5\u2009km resolution. Sci Data 8, 62 (2021). https://doi.org/10.1038/s41597-021-00847-5"]}
DOI: 10.5281/zenodo.4043039
title: Norwegian UV Network - minute data

description: <strong>Data are free for scientific, non-commercial purposes, but acknowledgement shall be given to DSA and NILU.</strong> Doserates at 1 minute resolution, based on real-sky measurements from GUV-instruments located at 10 sites in Norway (no substitution of gap periods). Calibrations based on the FARIN2005-campaign and annual site visits with a travelling reference GUV instrument. http://onlinelibrary.wiley.com/doi/10.1029/2007JD009731/abstract Groups of station-instruments have participated in 6 QASUME-campaigns (2003, 2005, 2009, 2010, 2014 and 2019). Interquartile range of UVI-measurements, relative to QASUME for the periode 2003-2019: +/-5 percent. Funding: Norwegian Environment Agency and Norwegian Ministry of Health and Care Services
description: Real sky observations at 9 Norwegian UV-stations, period 1996-2019
DOI: 10.5281/zenodo.4106440
title: NEMO, HIDRA and Tide Gauge Datasets for HIDRA Machine Learning Algorithm Verification

description: Supporting sea level datasets for paper: "HIDRA 1.0: Deep-Learning-Based Ensemble Sea Level Forecastingin the Northern Adriatic" by Lojze Žust, Anja Fettich, Matej Kristan, and Matjaž Ličer
DOI: 10.5281/zenodo.4548748
title: Methane isotopes in Krakow, Poland

description: IRMS measurement time series, CHIMERE modelled time series, sampled source signatures
DOI: 10.5281/zenodo.4764490
title: The Intramix data set

description: Intramix data set measured at the Waldstein site during 2014 Observations of temperature, water vapor and CO2 fluxes measured with sonic anemometers and open-path gas analyzers, and simulated Relaxed Eddy Accumulation concentrations for various hyperbolic and linear deadband sizes.
DOI: 10.5281/zenodo.4764499
title: The DRYVEXA data set

description: DRYVEXA data set measured in the Antarctic Dry Valleys from December 2012 to January 2013 Observations of temperature, water vapor and CO2 fluxes measured with sonic anemometers and open-path gas analyzers, and simulated Relaxed Eddy Accumulation concentrations for various hyperbolic and linear deadband sizes.
DOI: 10.5281/zenodo.5016192
title: UAV RGB and TIR images in the Qinghai-Tibet Engineering Corridor

description: Two permafrost slopes were conducted four flight experiments with UAV-mounted RGB and TIR sensors in 2016 and 2017.
DOI: 10.5281/zenodo.5519616
title: Dataset - Impact of 3D radiative transfer on airborne NO2 imaging remote sensing over cities with buildings

description: This dataset was created by Marc Schwaerzel (marc.schwaerzel@empa.ch) and is intended to get along with the Schwaerzel et al. (2021) AMT publication (amt-2020-146) . The data and the data structure is described in the<em> <strong>readme.md </strong></em>text file. The dataset contains: - libRadtran output (radiances and AMFs) - Synthetic SCDs
description: Should you have any questions or requests, please contact the main author (marc.schwaerzel@empa.ch) or the publication contact author (gerrit.kuhlmann@empa.ch)
DOI: 10.5281/zenodo.5585630
title: Raw data to "Sclerochronological evidence of pronounced seasonality from the late Pliocene of the southern North Sea Basin, and its implications"

description: Raw isotope and increment data, with corresponding shell heights
description: Funded by the Alexander von Humboldt Foundation (research stay at Mainz by ALAJ) and British Geological Survey (PhD studentship award BUFI S157 to AMV), with provision of isotope analytical facilities at the British Geological Survey under awards IP-1108-0509 and IP-1155-1109.
DOI: 10.5281/zenodo.6906577
title: The use of GRDC gauging stations for calibrating large-scale hydrological models

description: The Global Runoff Data Centre provides time series of observed discharges that are very valuable for calibrating and validating the results of hydrological models. We address a common issue in large-scale hydrology which, though investigated several times, has not been satisfactorily solved. Grid-based hydrological models need to fit the reported station location to the river network depending on the resolution, to compare simulated discharge with observed discharge. We introduce an Intersection over Union ratio approach to selected station locations on a coarser grid scale, reducing the errors in assigning stations to the wrong basin. We update the 10-year-old database of watershed boundaries with additional stations based on a high-resolution (3 arcseconds) river network, and we provide source codes and high- and low-resolution watershed boundaries. Same as release on Github: https://github.com/iiasa/CWATM_grdc_calibration_stations/releases/tag/V1.0
description: We address an annoying problem every grid-based hydrological model must solve to compare simulated with observed river discharge. First, station locations do not fit with the high-res river network. We updated the database with stations based on a new high-res network. Second, station locations do not work with a coarser grid-based river network. We use a new concept of basin-shape similarity for station locations on a coarser grid, reducing the error in assigning stations to the wrong basin.
DOI: 10.5281/zenodo.7315076
title: 20 m Annual Paddy Rice Map for Mainland Southeast Asia Using Sentinel-1 SAR Data

description: This dataset provides 20 m annual paddy rice map for mainland Southeast Asia since 2019 . *** The data file is in “.tif" format *** Pixel size: 20 m *** Projection information: EPSG: 4326 (WGS84) The map boundary employed in this database does not imply the expression of any opinion whatsoever on the part of us concerning the legal status of any country, territory, city or area or its authorities, or concerning the delimitation of its frontiers or boundaries.
DOI: 10.5281/zenodo.7385385
title: Dataset of tracer study experiments on influence of vegetation on flow and mixing in small channels

description: Data obtained during the tracer studies conducted on Warszawski Channel in Poland. The aime of the study was to influence of vegetation on flow and mixing in small channels. Data presents results from three trecer experiments under two difrent conditions (vagetted and unvegateted). For more details abut the study please refer to the paper: Kalinowska, M. B., Västilä, K., Nones, M., Kiczko, A., Karamuz, E., Brandyk, A., Kozioł, A., and Krukowski, M.: Influence of vegetation maintenance on flow and mixing: case study comparing full cut with high-coverage conditions, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2022-208, in review, 2022. <strong>Data contains </strong> <strong>1. files with time concentration distributions recorded in the given experiment and cross-ssection </strong><br> Files names include: the experiment number i.e. Exp1, Exp2 and Exp3; the cross-section number i.e. P1, P2, P3, P4 and P5 e.g. Exp1_P1.cvs contains the datarecorded in the cross-section 1 in the Experiment 1. Data structure: time - time of sample taken C [ppb] - measured concentration in ppb C [-] - relative/normalised concentration <strong>2. file with the value of obtained vegetion coverage in Experiment 1</strong> Data structure: section - sub-section name, i.e. A, B, C D vegetation coverage V [%] - value of the competed vegetation coverage in %
description: {"references": ["Kalinowska, M. B., V\u00e4stil\u00e4, K., Nones, M., Kiczko, A., Karamuz, E., Brandyk, A., Kozio\u0142, A., and Krukowski, M.: Influence of vegetation maintenance on flow and mixing: case study comparing full cut with high-coverage conditions, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2022-208, in review, 2022."]}
DOI: 10.5281/zenodo.7866738
title: Digital Elevation Models, orthoimages and lava outlines of the 2021 Fagradalsfjall eruption: Results from near real-time photogrammetric monitoring

description: This repository contains the data behind the work described in Pedersen et al (in review), specifically the Digital Elevation Models (DEMs), orthoimages and lava outlines created as part of the near-real time monitoring of the Fagradalsfjall 2021 eruption (SW-Iceland). The processing of the data is explained in detail in the Supplement S2 of Pedersen et al (2022). The data derived from Pléiades surveys includes only the DEMs and the lava outlines. The Pléiades-based orthoimages are subject to license. Please contact the authors for further information about this. <strong>Convention for file naming:</strong> Data: DEM, Ortho, Outline YYYYMMDD_HHMM: Date of acquisition Platform used: Helicopter (HEL), Pléiades (PLE), Hasselblad A6D (A6D) Origin of elevations in DEMs: meters above ellipsoid (zmae) Ground Sampling Distance: 2x2m (DEM) and 30x30cm (Ortho) Cartographic projection: isn93 (see cartographic specifications for further details) <strong>Cartographic specifications:</strong> Cartographic projection: ISN93/Lambert 1993 (EPSG: 3057, https://epsg.io/3057) Horizontal and vertical reference frame: The surveys after 18 April 2021 are in ISN2016/ISH2004, updated locally around the study area in April 2021 (after pre-eruptive deformations occurred). The rest of the surveys of late March and early April were created using several floating reference systems (see Supplement S3 for details), since no ground surveys were available during the first weeks of the data collection. The surveys of 23 March 2021, 31 March 2021 were re-procesed in Gouhier et al., 2022, using the survey done on 18 May 2021 as reference. Origin of elevations: Ellipsoid WGS84 Raster data format: GeoTIFF Raster compression system: ZSTD (http://facebook.github.io/zstd/) Vector data format: GeoPackage (https://www.geopackage.org/)
description: {"references": ["Pedersen, G. B. M., Belart, J. M. C., \u00d3skarsson, B. V., Gudmundsson, M. T., Gies, N., H\u00f6gnad\u00f3ttir, T., et al. (2022). Volume, effusion rate, and lava transport during the 2021 Fagradalsfjall eruption: Results from near real-time photogrammetric monitoring. Geophysical Research Letters, 49, e2021GL097125. https://doi.org/10.1029/2021GL097125", "Gouhier, M., Pinel, V., Belart, J.M.C. et al. CNES-ESA satellite contribution to the operational monitoring of volcanic activity: The 2021 Icelandic eruption of Mt. Fagradalsfjall. J Appl. Volcanol. 11, 10 (2022). https://doi.org/10.1186/s13617-022-00120-3"]}
DOI: 10.5281/zenodo.7971804
title: Short communication: Synchrotron-based elemental mapping of single grains to investigate variable infrared-radiofluorescence emissions [Data set]

description: This dataset accompanies a research paper in the journal Geochronology (https://doi.org/10.5194/gchron-6-77-2024). It contains the raw output of micro-XRF measurements carried out at the 5-ID SRX beamline at the National Synchrotron Light Source II (NSLS-II) at Brookhaven National Laboratory, USA, on coarse K-feldspar grains. Additionally, the XRF intensity attributed to each element after spectral fitting is provided for elemental mapping. The dataset also includes the output from scanning electron microscope energy-dispersive X-ray spectroscopy (SEM-EDS) measurements on coarse K-feldspar grains of two samples taken at Archéosciences Bordeaux, France.
DOI: 10.5676/dwd/radklim_rw_v2017.002
title: Radar climatology (RADKLIM) version 2017.002; gridded precipitation data for Germany
title: Radar-based gauge-adjusted one-hour precipitation sum (RW)

description: The data are results of the reprocessing version 2017.002 of the DWD radar-based precipitation 
		climatology based on the RADOLAN method. The precipitation sums (RW) result from the radar-based precipitation estimation that are 
		adjusted with precipitation measurements by gauges. The data is available on a 1 km x 1 km grid in polarstereographic projektion and
		covers the time span of 2001 until 2017. Version 2017.002 contains a thorough correction for radar artefacts compared to Version 2016.003.
description: General user recommendations: Users are also referred to following gridded RADKLIM products: 
		YW quantified precipitation rate with five-minute resolution.
DOI: 10.60545/z1ri5q
title: Checklist de especies presentes en el Parque Nacional Llanganates

description: El Parque Nacional Llanganates (PNLl), se establece mediante Resolución No.00002 del 18 de enero de 1996, publicado en el Registro Oficial No. 907 del 19 de marzo de 1996, con una superficie de 219.707 ha. Está ubicado en la zona central del territorio ecuatoriano, en las provincias de Tungurahua, Cotopaxi, Pastaza y Napo, constituye un Área Natural Protegida de gran relevancia, puesto que en su interior existe una gran diversidad de especies de vida silvestre, se originan importantes sistemas hídricos que finalmente conforman los grandes Ríos Napo y Pastaza, tributarios del Amazonas, así como recursos escénicos y culturales sobresalientes que son de gran importancia para la ciencia, educación, cultura, recreación y ecoturismo (INEFAN, 1998).
DOI: 10.6073/pasta/1289b3b41a46284d2a1c42f1b08b3807
title: Photogrammetric Point Cloud and DSM from UAV campaign at Niwot Ridge, 2017.

description: Elevation data from 14 August 2017 collected as part of unmanned
 aerial vehicle (UAV)/drone campaign during Summer 2017. Investigating
 snow depth varaibility and spatiotemporal variations and controls on
 vegetation productivity within the Niwot Ridge LTER Saddle Catchment.
DOI: 10.6073/pasta/1bd1491475ff6afee4be10d054d1ef0b
title: SBC LTER: Ocean: Time-series: Mid-water SeaFET and CO2 system chemistry at Alegria (ALE), ongoing since 2011-06-21

description: Calibrated pH (Total scale, SeaFET sensor) data was collected from Alegria in the Santa Barbara Channel (site ID: ALE) along with in situ temperature and associated carbonate chemistry parameters. The SeaFET instrument is located about 4 meters from the surface, with other moored instruments. Associated carbonate chemistry parameters were calculated with the CO2calc programs from USGS, and include: partial pressure and fugosity of CO2, concentrations of bicarbonate, carbonate and hyrdroxide ion, Omega (saturation state) of calcite and aragonite. Data have been interpolated to a 20 minute time interval for compatibility with other SBC LTER moored instrument data. Data coverage is 2011-06-21 to 2014-01-07.
DOI: 10.6073/pasta/23b8070eb65bae7aedc82fae8ee38b9f
title: SBC LTER: Ocean: Time-series: Mid-water SeaFET pH and CO2 system chemistry with surface and bottom Dissolved Oxygen at Mohawk Reef(MKO), 2012 - 2017

description: Calibrated pH (Total scale, SeaFET sensor) an disoolved oxygen (miniDOT)data were
 collected from Mohawk Reef in the Santa Barbara Channel (site ID: MKO). pH data are
 accompanied by in situ temperature and associated carbonate chemistry parameters. The SeaFET
 instrument is located about 4 meters from the surface, with other moored instruments.
 Associated carbonate chemistry parameters were calculated with the CO2calc programs from
 USGS, and include: partial pressure and fugosity of CO2, concentrations of bicarbonate,
 carbonate and hyrdroxide ion, Omega (saturation state) of calcite and aragonite. Dissolved
 oxygen sensors (miniDOT, PME) were added in 2014, and are mounted near the ocean surface and
 near the seafloor, and also report temperature. All data have been interpolated to a 20
 minute time interval for compatibility with other SBC LTER moored instrument data. Data
 coverage is 2012-01-11 to 2017-12-19.The update of this
 dataset was terminated in 2019. All data from this site have been concatenated with the pH data from
 the other sites and merged into one data package:
 https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sbc&identifier=6005
DOI: 10.6073/pasta/444a7923deebc4b660436e76ffa3130c
title: 25cm NDVI data from UAV campaign at Niwot Ridge Saddle Catchment, 2017

description: Data collected as part of unmanned aerial vehicle (UAV)/drone campaign
 during Summer 2017. Investigating snow depth variability and
 spatiotemporal variations and controls on vegetation productivity
 within the Niwot Ridge LTER Saddle Catchment.
DOI: 10.6073/pasta/a4f57c82ad274aa2640e0a79649290ca
title: 5cm multispectral imagery from UAV campaign at Niwot Ridge, 2017

description: Data collected as part of unmanned aerial vehicle (UAV)/drone campaign
 during Summer 2017. Investigating snow depth variability and
 spatiotemporal variations and controls on vegetation productivity
 within the Niwot Ridge LTER Saddle Catchment.
DOI: 10.6073/pasta/dadd5c2e4a65c781c2371643f7ff9dc4
title: Calibrated Red/Near Infrared orthomosaic imagery from UAV campaign at Niwot Ridge, 2017.

description: Red/Near Infrared data were collected as part of unmanned aerial vehicle (UAV)/drone campaign during Summer 2017. The purpose of the project was to investigate snow depth variability and spatiotemporal variations and controls on vegetation productivity within the Niwot Ridge LTER Saddle Catchment.
DOI: 10.6084/m9.figshare.12965123
title: data for “Soil infiltration characteristics and pore distribution under freezing-thawing conditions” .xlsx

description: the data for tc-2020-280
DOI: 10.6084/m9.figshare.21500229.v1
title: tc-2022-17datasetV2.xlsx

description: <strong>This work was supported by the Joint Research Project of Three-River Headwaters National Park, Chinese Academy of Sciences and the People’s Government of Qinghai Province (LHZX-2020-11),</strong> <strong>the</strong> <strong>Second Tibetan Plateau Scientific Exploration (Grant 2019QZKK0605), IWHR Research & Development Support Program (HY110145B0012021), the project of State Key Laboratory of Cryospheric Science (SKLCS-ZZ-2022), and Science and technology Project of Tibet Autonomous Region (XZ202101ZD0009G).</strong>
DOI: 10.5281/zenodo.10402450
title: Data Used for Article: Speeding up large wind farms layout optimization using gradients, parallelization, and a heuristic algorithm for the initial layout
DOI: 10.5281/zenodo.4764493
title: The ExpMM data set

description: ExpMM data set measured at the Falkenberg observatory site in Lindenberg, Germany during summer 2015 Observations of temperature, water vapor and CO2 fluxes measured with sonic anemometers and open-path gas analyzers, and simulated Relaxed Eddy Accumulation concentrations for various hyperbolic and linear deadband sizes.
DOI: 10.5281/zenodo.5009871
title: Meteorological and ground observations in the Qinghai-Tibet Engineering Corridor

description: Observation of meteorological factors was conducted at two permanent meteorological stations (Golmud and Wudaoliang) and one field meteorological station (Xidatan) with daily meteorological records. All three meteorological stations contain ground observations.
DOI: 10.5281/zenodo.5869329
title: FORUM end-to-end simulator datasets

description: The dataset contains a set of netCDF files for the cases treated in the AMT paper. Each directory contains three files: fe2es_fei_out_d0001.nc - the output of the FEI imager fe2es_fsi_out_d0001.nc - the output of the FSI spectrometer fe2es_sgm_ref_d0001_acq3.nc - The reference atmosphere for that case Any additional files are only meaningful for the FORUM E2E simulator full code.
description: Project FORUM End-to-End simulator funded by European Space Agency
DOI: 10.11583/dtu.21717524
title: DTU10MW HAWC2 files for an extreme coherent gusts with direction change (DLC1.4) study

description: This data object contains the HAWC2 input files of the DTU10MW wind turbine as used for the study "Extreme coherent gusts with direction change - probabilistic model, yaw control and wind turbine loads". The following 7-zip compressed archives can be downloaded: <strong>yaw_controller.7z</strong>: fortran source files to compile the yaw controller DLL for HAWC2 <strong>C0049_v5_redist.7z</strong>: simulation input files, statistics and time series plot for the simulations with yaw controller <strong>C0047_new_v5_redist.7z</strong>: simulation input files, statistics and time series plot for the simulations without yaw controller
DOI: 10.17864/1947.333
title: Post-processed reforecasts of the European Flood Awareness System and related evaluation data

description: This dataset contains the twice-weekly post-processed reforecasts for years 2017 and 2018. These reforecasts were created by post-processing the Copernicus Emergency Management Service's European Flood Awareness System (EFAS) reforecasts. The post-processing method used is the operational method for the EFAS (Oct 2021). These post-processed reforecasts were used in the evaluation of the post-processing method. Additional data used in the evaluation is also included. The python code used in the evaluation is provided. The python scripts contain functions for the calculation of verification metrics for both the post-processed and the non-post-processed reforecasts.