cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4292302
title: Radiance data for "Systematic Comparison of Vectorial Spherical Radiative Transfer Models in Limb Scattering Geometry" by Zawada et al.

description: Radiance data for "Systematic Comparison of Vectorial Spherical Radiative Transfer Models in Limb Scattering Geometry" by Zawada et al. which is to be submitted to Atmospheric Measurement Techniques. A comprehensive inter-comparison of seven radiative transfer models in the limb scattering geometry has been<br> performed. Every model is capable of accounting for polarisation within a fully spherical atmosphere. Three models (GSLS, SASKTRAN-HR, and SCIATRAN) are deterministic, and four models (MYSTIC, SASKTRAN-MC, Siro, and SMART-G)<br> are statistical using the Monte Carlo technique. This dataset consists of the raw radiance data used to perform the intercomparisons, atmospheric input data for the optical properties of the atmosphere, and data specifying the geometry of the test cases. Data is provided in NetCDF4 format with documentation present inside the variable attributes. More detail on the comparison scenarios can be found within the published article. (Link to be added when available).
DOI: 10.5281/zenodo.6913436
title: Shroud Experiment 2020

description: This dataset contains the data used for the paper titled "<strong>Toward quantifying turbulent vertical airflow and sensible heat flux in tall forest canopies using fiber-optic distributed temperature sensing</strong>". This first part of the dataset contains the experiment conducted between April 2020 and June 2020 at the Ecological Botanical Garden (EBG) at the University of Bayreuth. Two upside-down sonic anemometers (Model USA-1, Metek GmbH, Elmshorn, Germany) at 1.5 m height (middle of the shroud) and two quad disk pressure ports attached to a nano resolution digital barometer (Model 745-16B, Paroscientific, Inc.) at 1 m above ground set up; one of each sensor placed inside the cylindrical shroud. The sonic anemometer and static pressure data recorded at sampling frequencies of 20 Hz. The second part of the dataset contains the experiment conducted at the Waldstein-Weidenbrunnen long-term ecosystem flux site between October 2020 and November 2020 as part of the LOEWE20 (Large Eddy ObsErvatory Walsstein Experiment 2020) experiment. Two high-resolution DTS instruments (Model 5 km Ultima, Silixa, London, UK) used to observe the continuous temperature with a spatial resolution of 0.127 m averaged over 6 seconds. Quartet FO array containing two pairs of parallel coned and unconed FO cables extending from the ground to the top canopy at 34 m and 36m height for main and turbulence tower.
DOI: 10.5281/zenodo.7750907
title: Data used to create figures and tables in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"

description: This dataset contains all simulation output and observational data of ground-based/satellite-retrieved meteorological and air quality for computing statistical metrics in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China", as follows: 1. Simulation and observational results of meteorological and air quality including four folders: Day_PBLH: Daily PBLH data Hour_air: Hourly air quality data regarding PM2.5, O3, SO2, NO2 and CO Hour_met: Hourly meteorological data regarding T2, Q2, RH2, WS10 and precipitation Hour_radiation: Hourly surface radiation data 2. Simulation and satellite-retrieved results of meteorological and air quality including nine folders: AOD: Yearly and seasonal AOD data CF: Yearly and seasonal CF data CO: Yearly and seasonal CO data LWP: Yearly and seasonal LWP data NO2: Yearly and seasonal NO2 data O3: Yearly and seasonal O3 data Precipitation: Yearly and seasonal precipitation data Radiation: Yearly and seasonal radiation data SO2: Yearly and seasonal SO2 data
DOI: 10.5285/e46be5bc-ef8e-4fd5-967b-92863fbe2835
title: High resolution vector polylines of the Antarctic coastline

description: Coastline for Antarctica created from various mapping and remote sensing sources. Covering all land and ice shelves south of 60S. Suitable for topographic mapping and analysis. Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research. Major changes in v7.4 include updates to coastline and ice shelves between Gipps Ice Rise and Ronne Ice Shelf, updated ice shelf fronts for Brunt, Stange and West ice shelves, Pine Island Glacier, and an updated coastline for Adelaide Island.
description: Dataset compiled from a variety of Antarctic map and satellite image sources. The dataset was created using ArcGIS and QGIS GIS software programmes and has been checked for basic topography and geometry checks, but does not contain strict topology. Quality varies across the dataset and certain areas where high resolution source data were available are suitable for large scale maps whereas other areas are only suitable for smaller scales. Each line has attributes detailing the source which can give the user further indications of its suitability for specific uses. Attributes also give information including 'surface' (e.g. grounding line, ice coastline, ice shelf front) and revision date. Compiled from sources ranging in time from 1990s-2020 - individual lines contain exact source dates.
DOI: 10.5439/1025274
title: ARM: Surface Energy Balance System

description: Surface Energy Balance System
DOI: 10.6069/h5mw2f2q
title: Sahel Precipitation Index
DOI: 10.14284/386
title: Maritime Boundaries Geodatabase: Maritime Boundaries and Exclusive Economic Zones (200NM)

description: Maritime Boundaries and Exclusive Economic Zones from the VLIZ Maritime Boundaries Geodatabase. Boundaries have been built using information about treaties between coastal countries. When treaties are not available, median lines have been calculated. An exclusive economic zone (EEZ) is a seazone extending from a state's coast or baseline over which the state has special rights over the exploration and use of marine resources. Generally a state's EEZ extends 200 nautical miles out from its coast, except where resulting points would be closer to another country. This dataset also contains delimitation of overlapping claims and joint regimes.
description: In the Maritime Boundaries Geodatabase, Marine Regions makes available most of the maritime areas defined in the Law of the Sea Convention: Exclusive Economic Zones (EEZ), Territorial Seas (TS), Contiguous Zones (CZ), Internal Waters (IW) and Archipelagic Waters (AW).
DOI: 10.1594/pangaea.936848
title: Magnetic storm observations from the Prague-Clementinum observatory on 1839-09-03

description: Data of magnetic storms recorded at the Prague-Clementinum observatory in 1839-1849 are presented. The data were obtained by digitising and processing the original old records published in the yearbooks of this historical observatory. The data set contains variation of declination [min] and horizontal magnetic field [nT] of 73 magnetic storms with the magnitudes being of at least a moderate level completed with the baseline of declination [deg] and baseline of horizontal megnetic field [nT]. All time data were transformed into UT, based on the longitude of the Göttingen observatory, which was 9.950°. The time shift is thus 39'48''. The date in the file name indicates the start day of the storm.
description: Baselines: Declination = unresolved ; H-component = unresolved
DOI: 10.17592/001.2018022701
title: Geothermal heat flux distribution for the Greenland ice sheet, derived by combining a global representation and information from deep ice cores

description: Distribution of the geothermal heat flux under the Greenland ice sheet, derived by combining the global heat-flow representation by Pollack and others (1993, Rev. Geophys. 31, doi: 10.1029/93RG01249) and point information at five deep ice-core locations (GRIP, Dye 3, Camp Century, NGRIP, NEEM). Update of two earlier versions by Greve (2005, Ann. Glaciol. 42, doi: 10.3189/172756405781812510) and Greve and Herzfeld (2013, Ann. Glaciol. 54, doi: 10.3189/2013AoG63A085). Gridded NetCDF files are available for two different grids (EPSG:3413 grid: polar stereographic projection, standard parallel 70N, central meridian 45W; Bamber grid: polar stereographic projection, standard parallel 71N, central meridian 39W) and three different resolutions (5 km, 10 km, 20 km).
DOI: 10.23728/fmi-b2share.988739d21b824c709084e88ed6c6d54b
title: Data set for Doulgeris et al.2021 : In-situ microphysical characterization of low-level clouds in the Finnish sub-Arctic, extensive dataset.

description: Continuous, semi-long-term, ground based in-situ cloud measurements were conducted during eight Pallas Cloud Experiments (PaCE) held in autumns between 2004 and 2019. Those campaigns were carried out in the Finnish sub-Arctic region at the Sammaltunturi station (67º58´24´´N, 24º06´58´´E; 560 m MSL), the part of Pallas Atmosphere – Ecosystem Supersite and Global Atmosphere Watch (GAW) program. Two cloud spectrometer ground setups and a weather station were installed on the roof of the station to measure in-situ cloud properties and several meteorological variables. Thus, the obtained data sets include the size distribution of cloud droplets as a measured cloud parameter along with the temperature, dew point temperature, humidity, pressure, wind speed and direction, (global solar) sun radiation and visibility at the station. Additionally, the number concentration, effective diameter, median volume diameter and liquid water content from each instrument were derived. The presented data sets provide a great insight into microphysics of low-level clouds in sub-Arctic conditions over a wide range of temperatures. Dataset includes a separate NetCDF and excel.cvs file file for each cloud spectrometer; for each year.
DOI: 10.34812/7cda-ep21
title: National Bibliography of Scotland
DOI: 10.48529/w1jq-qh85
title: Third Integrated Household Survey 2010-2011
title: MWI_2010_IHS-III_v01_M
DOI: 10.5067/iwgd4wfmcqnw
title: SnowEx17 Boise State University Terrestrial Laser Scanner (TLS) Point Cloud, Version 1
DOI: 10.5067/pp7t2gbi52i2
title: Western United States UCLA Daily Snow Reanalysis, Version 1
DOI: 10.5258/soton/wp00644
title: Global 100m Covariates

description: Covariate datasets used as input to the RF in the framework of the Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076)
DOI: 10.5281/zenodo.10069195
title: Soil respiration data measured with LI-7810 CH4/CO2/H2O Trace Gas Analyzer in Tangermuende/Germany in August 2022

description: The dataset is associated with the publication Koschorreck, M., Kamjunke, N., Koedel, U., Rode, M., Schuetze, C., and Bussmann, I.: Diurnal versus spatial variability of greenhouse gas emissions from an anthropogenic modified German lowland river, Biogeosciences Discuss. [preprint], https://doi.org/10.5194/bg-2023-176, in review, 2023. 

It shows CO2 and CH4 initial concentrations and flux data measured with the LICOR 7810 instrument and calculated with the SoilFluxPro software V5.3.
DOI: 10.5281/zenodo.10564735
title: Root water uptake, May-July 2019, Hainich, Germany, project AquaDiva

description: This dataset contains root water uptake at two different soil depth (7.5cm and 27.5cm) data used for the analysis published in Demir et al., (2023). It gives spatially distributed root water uptake data and covering the following periods:25-26 May 201901-02 June 201923 June – 03 July 201924-27 July 2019Root water uptake was estimated via MSML (Guderle and Hildebrandt, 2015) 
description: Data were collected by project B02 of the Collaborative Research Centre AquaDiva of the Friedrich Schiller University Jena, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1076 – Project Number 218627073
DOI: 10.5281/zenodo.4068271
title: Carbon action MULTA Finnish carbon sequestration experimental field dataset 2020

description: This dataset includes the second year observations of the Finnish Carbon Action carbon sequestration experiment. In the experiment c.a. 100 farms test carbon farming methods on a test field and an adjacent control plot. Of these 20 farms were chosen for continued sampling 2020-2024 combining field observations and soil sampling. This data will be coupled with satellite imagery, field sensors and carbon cycle modeling to forecast carbon sequestration. Subsequent sampling will track changes in soil carbon stock and soil productivity. The dataset will be updated annually, updates are published as separate datasets in https://zenodo.org/communities/carbonaction/ . The 2020 update includes data on: physical quality: soil structure (VESS), bulk density, porosity, water holding capacity, infiltration rate biological properties: earthworm counts, above ground biomass, plant cover (%)
description: Year 2019 and 2021 datasets can be found at: https://zenodo.org/communities/carbonaction
DOI: 10.5281/zenodo.4268288
title: Model outputs for figures in Climate of the Past "Impact of Southern Ocean surface conditions on deep ocean circulation at the LGM: a model analysis"

description: This dataset contains the model outputs from iLOVECLIM (LGM, PMIP4) which are necessary to draw the figures of the manuscript submitted to Climate of the Past, called "Impact of Southern Ocean surface conditions on deep ocean circulation at the LGM: a model analysis".
DOI: 10.5281/zenodo.7797361
title: Dataset for the article "Development of an integrated socio-hydrological modeling framework for assessing the impacts of shelter location arrangement and human behaviors on flood evacuation processes"

description: This dataset include the data needed to create the socio-hydrological model to simulate human evacuation processes via a transportation network before a flood hits the residential area. Source code, in JAVA, for generating households in the agent-based model are also provided.
DOI: 10.5439/1025315
title: ARM: Video Disdrometer Drop Size Distribution

description: Video Disdrometer Drop Size Distribution
DOI: 10.6084/m9.figshare.13116506
title: Speleothem oxygen record - thermal or moisture changes proxy? A case study of multiproxy record from MIS 5/MIS 6 age speleothems from Demänová Cave System.

description: U-series age - depth model, stable isotopic data, trace elements content, from JS9 stalagmite collected in Demänová Cave System (Slovakia)
DOI: 10.7265/n5cf9n19
title: ICESat-Derived Grounding Zone for Antarctic Ice Shelves
DOI: 10.7289/v5sj1hh2
title: NOAA Climate Data Record (CDR) of Daily Outgoing Longwave Radiation (OLR), Version 1.2

description: This Climate Data Record (CDR) contains the daily mean Outgoing Longwave Radiation (OLR) time series in global 1 degree x 1 degree equal-angle gridded maps spanning from January 1, 1979 to December 31, 2013, and continuing daily with a two-day lag. The OLR is estimated directly from the HIRS radiance observations for all sky conditions. The observations from imagers onboard international operational geostationary satellites are incorporated to improve the sampling of the OLR diurnal variation. The Daily OLR CDR is at its initial version 1.2. The data file format is netCDF-4 with CF metadata, and it is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.
DOI: 10.21227/h7av-ry54
title: Datasets of Oxygen concentration measurements in ICU boxes at Faculty Hospital in Ostrava, Czech Republic

description: This dataset contains measured data from five sensor modules designed for monitoring the oxygen concentration in the air in a hospital environment, especially in rooms where oxygen therapy can potentially occurs. This data is crucial from a safety point of view, as a higher oxygen concentration can increase the risk of fire development.Sensor modules were placed at various locations of the Ostrava University Hospital in the Czech Republic. Sensor modules 1 to 4 were located in intensive care units (ICUs), while sensor module 5 was located in the nurses' office as a reference measurement point. The data was collected between January 28, 2021, and October 2023, providing a comprehensive data set from different seasons and periods.The dataset contains information on atmospheric oxygen concentration, including outage data (data gaps) caused by various factors such as sensor technical problems or maintenance. Importantly, erroneous measurements were identified and removed from the dataset without replacement, ensuring data quality and reliability.For easier use of the records, datasets from individual sensor modules were also generated.The recording also includes an electronic scheme of the sensor module. More detailed information about the firmware for the module is available at the workplace of the author's collective.This dataset can potentially be used for air quality analysis in hospital environments and for monitoring oxygen concentration in oxygen therapy rooms. It can also serve as a basis for the development of predictive models or systems for automatic monitoring and warning of potentially dangerous situations associated with oxygen concentration in hospitals.
DOI: 10.25781/kaust-0w317
title: The effect of ash aging and heterogeneous chemistry on evolution of a Pinatubo-size volcanic cloud

description: The dataset represents a modified version of the source code of EMAC model used in the study "The effect of ash aging and heterogeneous chemistry on evolution of a Pinatubo-size volcanic cloud" as well as the datasets used to evaluate the model results.
DOI: 10.25921/7jf5-wv54
title: ATOMIC aircraft flight level navigation meteorology: Wind speed, relative humidity, aircraft parameters, and other measurements taken from N43 aircraft in the North Atlantic Ocean, Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-17 to 2020-02-11 (NCEI Accession 0220621)

description: The Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) was a field campaign held January-February 2020 in the tropical North Atlantic east of Barbados. The campaign, the U.S. complement to the European field campaign called EUREC4A, was aimed at better understanding cloud and air-sea interaction processes. ATOMIC included measurements from a NOAA WP-3D Orion "Hurricane Hunter" aircraft, the research ship Ronald H. Brown, and unpiloted vehicles launched from Barbados and from the Ronald H. Brown. This accession contains aircraft flight level data in netCDF files.
DOI: 10.26165/juelich-data/6d8b70
title: Replication Data for: Zeppelin flights 2020: Electrochemical sensors

description: Data of MIRO and sensor setups (raw) measurements acquired during the Zeppelin flights 2020.
DOI: 10.5067/lis/lis/data306
title: LIS 0.1 Degree Very High Resolution Gridded Lightning Climatology Data Collection (lisvhrcC)
DOI: 10.5281/zenodo.3937485
title: Hydro-CH2018-Runoff ensemble

description: The Hydro-CH2018-Runoff ensemble consists of daily runoff simulations for 93 catchments in Switzerland for the period 1981-2099 run with the newest climate change scenarios for Switzerland (CH2018). The simulations were performed with the hydrological modelling system PREVAH on soundly calibrated and validated catchments.

The zip-file includes 4 folders including data: -- daily: daily simulations per catchment and RCP scenario with columns for each model in the respective RCP scenario-- monthly: monthly means of daily simulations per catchment and RCP scenario with columns for each model in the respective RCP scenario-- seasonal: seasonal means (winter-DJF, spring-MAM, summer-JJA, autumn-SON) of daily simulations per catchment and RCP scenario with columns for each model in the respective RCP scenario-- yearly: yearly means of of daily simulations per catchment and RCP scenario with columns for each model in the respective RCP scenario

The data is accompanied by a list of models and corresponding RCP scenarios, a list of catchment IDs and corresponding gauging station names, and a short readme with the filename convention. 

There exist daily, monthly, seasonal, and yearly data for each catchment for12 GCM-RCM chains under RCP2.6 scenario25 GCM-RCM chains under RCP4.5 scenario30 GCM-RCM chains under RCP8.5 scenario 

A paper describing the dataset and the underlying methods has been published:  Muelchi, R., Rössler, O., Schwanbeck, J., Weingartner, R., Martius, O. (2021): An ensemble of daily simulated runoff data (1981-2099) under climate change conditions for 93 catchments in Switzerland (Hydro-CH2018-Runoff ensemble). Geoscience Data Journal, https://doi.org/10.1002/gdj3.117
DOI: 10.5281/zenodo.4457183
title: Glacier Inventories in the Chhombo Chhu Watershed of Tista basin, Sikkim Himalaya, India

description: Multi-temporal inventory of glaciers compiled for the Chhombo Chhu Watershed (CCW) of Tista basin, Sikkim Himalaya, India. The CCW consists of 74 glaciers (&gt;0.02 km<sup>2</sup>) with a mean glacier size of 0.61 km<sup>2</sup>. Change analysis based on the glaciers outlines obtained from declassified hexagon KH-9 (1975), Landsat 5 TM (1989), Landsat 7 ETM+ (2000), Landsat 5 TM (2010) and Sentinel 2A (2018). The total glacier area in 1975 was 62.6 ±0.7 km<sup>2</sup>; by 2018 the glacier area had decreased to 44.8 ± 1.5 km<sup>2</sup>, an area loss of 17.9 ± 1.7 km<sup>2</sup> (0.42 ± 0.04 km<sup>2 </sup>a<sup>–1</sup>). Debris free glaciers exhibit more area loss by 11.8 ± 1.2 km<sup>2</sup> (0.27 ± 0.03 km<sup>2 </sup>a<sup>–1</sup>) followed by partially debris-covered (5.0 ± 0.4 km<sup>2</sup> or 0.12 ± 0.01 km<sup>2 </sup>a<sup>–1</sup>) and maximum debris-covered (1.0 ± 0.1 km<sup>2</sup> or –0.02 ± 0.002 km<sup>2 </sup>a<sup>–1</sup>) glaciers. The quantum of glacier area loss in the CCW of Sikkim Himalaya took its pace during 2000–2010 (0.62 ± 0.5 km<sup>2 </sup>a<sup>–1</sup>) and 2010–2018 (0.77 ± 0.6 km<sup>2 </sup>a<sup>–1</sup>) timeframes. Field investigations of selected glaciers and climatic records also support the trend in glacier recession in the CCW, as a result of significant increase in temperature trend and more or less static precipitation since 1995. Glacier retreat rates in the CCW were almost similar to the Changme Khangpu basin and other selected glaciers in Sikkim Himalaya. Thus, this glacier inventory and area change analysis will provide valuable information to the glaciological and hydrological community for the future modeling and planning of the water resources in Sikkim state of Eastern Himalaya.
description: Related identifiers (Supplement to): Chowdhury, A., Sharma, M. C., De, S. K., and Debnath, M.: Glacier Changes in the Chhombo Chhu Watershed of Tista basin between 1975 and 2018, Sikkim Himalaya, India, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2020-360, in review, 2021.