cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.887415
title: The Austrian Glacier Inventory GI 4 (2015) in ArcGis (shapefile) format

description: Glacial lakes constitute a substantial part of the legacy of vanishing mountain glaciation and act as water storage, sediment traps and sources of both natural hazards and leisure activities. For these reasons, they receive growing attention by scientists and society. However, while the evolution of glacial lakes has been studied intensively over timescales tied to remote sensing-based approaches, the longer-term perspective has been omitted due a lack of suitable data sources. We mapped and analyzed the spatial distribution of glacial lakes in the Austrian Alps. We trace the development of number and area of glacial lakes in the Austrian Alps since the Little Ice Age (LIA) based on a unique combination of a lake inventory and an extensive record of glacier retreat.We find that bedrock-dammed lakes are the dominant lake type in the inventory. Bedrock- and moraine-dammed lakes populate the highest landscape domains located in cirques and hanging valleys. We observe lakes embedded in glacial deposits at lower locations on average below 2000 m a.s.l. In general, the distribution of glacial lakes over elevation reflects glacier erosional and depositional dynamics rather than the distribution of total area. The rate of formation of new glacial lakes (number, area) has continuously accelerated over time with present rates showing an eight-fold increase since LIA. At the same time the total glacier area decreased by two-thirds. This development coincides with a long-term trend of rising temperatures and a significant stepping up of this trend within the last 20 years in the Austrian Alps.
description: All Austrian glacier extents were mapped on the base of Google Earth images. Aerial images were available on following dates: 18/07/2015, 31/07/2015, 05/08/2015, 08/08/2015, 13/08/2015, 27/08/2015, 29/08/2015, 30/08/2015, 01/09/2015. Except for the glacier Ödenwinklkees: Glacier extent based on UAV-flight 31/08/2016 by GEORESEARCH Forschungsgesellschaft mbH. The glacier boundaries were manually mapped by one expert and crosschecked by two peers. However, different opinions about glacier extents are possible in the case of snow and debris cover.
DOI: 10.1594/pangaea.888600
title: Ground Temperature Map, 2000-2016, Northern Hemisphere Permafrost

description: The product provides modeled mean annual ground temperatures (MAGT) at the top of the permafrost for the Northern Hemisphere at 1 km spatial resolution. Permafrost probability (fraction values from 0 to 1) is assigned to each grid cell with MAGT &lt; 0°C. Based on its permafrost probability each grid cell is classified as continuous, discontinuous and sporadic permafrost. The processing extent covers exposed land areas of the Northern Hemisphere down to 25 ° latitude. The mean MAGT was validated with GTN-P and TSP borehole ground temperature data and yielded a RMS of 2.0 °C. According to the results, permafrost (MAGT &lt; 0 °C) covers 15 % of exposed land of the Northern Hemisphere.Following files are provided in geotiff format:- Mean Annual Ground Temperature (MAGTM) [C°]- MAGT Standard Deviation (MAGTSTD) [C°]- Permafrost Probability Fraction (PERPROB) [Fraction, 0-1]Permafrost Zonation (PERZONES) is provided as ESRI shapefile.All files are provided in Arctic Polar Stereographic projection (EPSG:3995 WGS 84).More Information about the modelling method can be found in the product guide.The map was produced within the project ESA Data User Element GlobPermafrost.Dataset update: 2019-04-01
DOI: 10.1594/pangaea.899074
title: CDP, CIP and PIP In-situ arctic cloud microphysical properties observed during ACLOUD-AC3 campaign in June 2017

description: This data set is composed of in-situ measurement of arctic cloud microphysical properties observed during the ACLOUD-AC3 campaign which occurred during June 2017. These measurements were made using the CDP, CIP and PIP probes from the airborne measurement platform of the Laboratoire de Météorologie Physique (CNRS/UCA, Aubière, France). There is one file per flight. All files are in NetCDF format with a complete description of the parameters inside. A detailed description of the data processing will be done in an upcoming data paper.
DOI: 10.1594/pangaea.900335
title: Aircraft measurements of aerosol size distribution in the Arctic during flight P6_206_ACLOUD_2017_1706181901 of the ACLOUD campaign 2017
DOI: 10.1594/pangaea.932020
title: Aircraft measurements of broadband irradiance during the AFLUX campaign in 2019

description: Solar and terrestrial broadband irradiance and nadir brightness temperature observed during the AFLUX (Airborne measurements of radiative and turbulent FLUXes of energy and momentum in the Arctic boundary layer) campaign in March / April 2019
DOI: 10.18739/a22z12q8x
title: DataHawk2 Uncrewed Aircraft System data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign, A1 level

description: This dataset is derived from DataHawk2 fixed-wind uncrewed aircraft system (UAS) flights that were conducted in the central Arctic Ocean over sea ice during the MOSAiC expedition. The data include Universal Coordinated Time (UTC), aircraft position and attitude, atmospheric thermodynamic conditions (pressure, temperature, humidity) from various sensors, approximate brightness temperature of the surface and overlying atmosphere, and estimated horizontal winds. A flight flag is included to indicate when the aircraft is in flight. All the data have been synchronized and quality controlled, and are provided at their native frequency logged on board the aircraft’s secure digital (SD) card. Data interpolated to a common 10 hertz (Hz) clock are provided in the B1 level files, and are available in the Arctic Data Center at doi:10.18739/A2Z60C34R. Users are encouraged to primarily use the B1 level data for analysis. More information on the data and methods used for synchronization and quality control can be found in de Boer, G. R. Calmer, G. Jozef, J. Cassano, J. Hamilton, D. Lawrence, S. Borenstein, A. Doddi, C. Cox, J. Schmale, A. Preußer and B. Argrow (2021): Observing the Central Arctic Atmosphere and Surface with University of Colorado Uncrewed Aircraft Systems, Nature Scientific Data, in prep.
DOI: 10.18739/a2vm42z5f
title: 10-meter (m) meteorological flux tower measurements (Level 1 Raw), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 - September 2020

description: Raw (Level 1) measurements from the 10-meter (m) meteorological and flux tower (TOWER) deployed at the Met City location within the Central Observatory of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition drifting with the central Arctic sea ice from October 2019 through September 2020. At times, measurements from a second meteorological mast (MAST) located nearby are also included in the data set. The collective TOWER systems measured many parameters of the surface energy budget, surface momentum flux, near-surface meteorology, and local position. Measurements of meteorology and high-resolution 3-dimensional winds were observed at nominal heights of 2-, 6-, and 10-m, with some measurements at either 30- or 23-m when the MAST was also operational. The measurements are included in two netCDF files per day. The "slow" files are for 1-sec samples of the measured variables, including near-surface meteorology, surface temperature, surface height change, net surface heat flux, and position. The "fast" files are for data at 10 and 20-Hertz (Hz) resolution including 3-dimensional wind, temperature, and gas concentrations of water vapor and carbon dioxide. These data are raw measurements with only technical corrections applied but no quality assurance. Moreover, the data files contain all measurements, including data collected during system testing that are not intended for scientific use. A detailed documentation of the measurement conditions will be provided in a forthcoming data publication. For scientific purposes, we recommend using Level 3 data files when they are available, as these will include full quality control as well as higher-order derived products.
DOI: 10.18739/a2z31nq11
title: DataHawk2 Uncrewed Aircraft System data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign, raw data

description: This dataset includes unprocessed raw data from DataHawk2 fixed-wind uncrewed aircraft system (UAS) flights that were conducted in the central Arctic Ocean over sea ice during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. Synchronized and quality controlled data are available in the Arctic Data Center at doi:10.18739/A22Z12Q8X for data provided at their native frequency logged on board the aircraft’s secure digital (SD) card (A1 level files), or at doi:10.18739/A2Z60C34R for data interpolated to a common 10 hertz (Hz) clock (B1 level files). Users are encouraged to primarily use the B1 level data for analysis. Please contact the authors if you plan to use this dataset. More information on data collection with the DataHawk2 can be found in de Boer, G. R. Calmer, G. Jozef, J. Cassano, J. Hamilton, D. Lawrence, S. Borenstein, A. Doddi, C. Cox, J. Schmale, A. Preußer and B. Argrow (2022): Observing the Central Arctic Atmosphere and Surface with University of Colorado Uncrewed Aircraft Systems, Nature Scientific Data, submitted.
DOI: 10.21335/nmdc-1738969988
title: Interannual variability of the marine CO2 system and nutrients in the Barents Sea from 2011 to 2017

description: Marine CO2 system data (total alkalinity, and total dissolved inorganic carbon were collected from full water column on the IMR repeat section Fugløya-Bjørnøya in the Barents Sea, sometimes referred as the Barents Sea Opening (BSO). Sampling was generally performed once a year between January and May, although on some occasions sampling was performed at other times and other frequency. The seawater samples were collected from a CTD-Rosette (12-Niskin bottle) following standard procedures and analyzed at Institute of Marine Research, Tromsø, Norway after the cruises following the method described in Dickson et al. (2007). DIC was determined using gas extraction of acidified samples followed by coulometric titration and photometric detection using a Versatile Instrument for the Determination of Titration carbonate (VINDTA 3D, Marianda, Germany). determined by potentiometric titration with 0.1 N hydrochloric acid using a Versatile Instrument for the Determination of Titration Alkalinity (VINDTA 3S, Marianda, Germany). Routine analyses of Certified Reference Materials (CRM, provided by A. G. Dickson, Scripps Institution of Oceanography, United States) ensured the accuracy of the measurements, which was better than ±1 and ±2 mmol kg-1 for DIC and AT, respectively. Description of the analytical methods can be found as a summary in the data file, as well as in the annual reports by Chierici et al., 2012:2017, and Jones et al., 2018. Water samples for analysis of nutrients [NO2, NO-, Si(OH)4, PO4] were preserved with 250 µL chloroform until post-cruise analysis following standard methods (Grasshoff et al., 2009) at the chemical laboratory at IMR, Bergen. Three replicates were analyzed for each sample. This study is a contribution to the project Monitoring ocean acidification in Norwegian waters/Havforsuringsovervåking i norske farvann” funded by the Norwegian Environment Agency (Miljødirektoratet) projects #7013502 and #17078007. Data is also published in Vannmiljø.
DOI: 10.21335/nmdc-1939716216
title: Interannual variability of the marine CO2 system and nutrients in the Norwegian Sea from 2011 to 2017

description: Marine CO2 system data (total alkalinity, and total dissolved inorganic carbon were collected from full water column on the IMR repeat sections in the Norwegian Sea; Svinøy and Gimsøy. Sampling was generally performed in spring between January and April, although on some occasions sampling was performed later and earlier. The seawater samples were collected from a CTD-Rosette (12-Niskin bottle) following standard procedures and analyzed at Institute of Marine Research, Tromsø, Norway after the cruises following the method described in Dickson et al. (2007). DIC was determined using gas extraction of acidified samples followed by coulometric titration and photometric detection using a Versatile Instrument for the Determination of Titration carbonate (VINDTA 3D, Marianda, Germany). determined by potentiometric titration with 0.1 N hydrochloric acid using a Versatile Instrument for the Determination of Titration Alkalinity (VINDTA 3S, Marianda, Germany). Routine analyses of Certified Reference Materials (CRM, provided by A. G. Dickson, Scripps Institution of Oceanography, United States) ensured the accuracy of the measurements, which was better than ±1 and ±2 mmol kg-1 for DIC and AT, respectively. Description of the analytical methods can be found as a summary in the data file, as well as in the annual reports by Chierici et al., 2012:2017, and Jones et al., 2018. Water samples for analysis of nutrients [NO2, NO-, Si(OH)4, PO4] were preserved with 250 µL chloroform until post-cruise analysis following standard methods (Grasshoff et al., 2009) at the chemical laboratory at IMR, Bergen. Three replicates were analyzed for each sample. This study is a contribution to the project Monitoring ocean acidification in Norwegian waters/Havforsuringsovervåking i norske farvann” funded by the Norwegian Environment Agency (Miljødirektoratet) project#7013502 and 17078007.
DOI: 10.21966/m0es-7520
title: Marine CO2 system variability along the Inside Passage of the Pacific Northwest coast of North America determined from an Alaskan ferry
title: Variabilité du système de CO2 marin le long du passage intérieur de la côte nord-ouest du Pacifique de l'Amérique du Nord déterminée à partir d'un traversier de l'Alaska

description: Information on marine CO2 system variability has been limited along the Inside Passage of the Pacific Northwest coast of North America despite the region’s rich biodiversity, abundant fisheries, and developing aquaculture industry. Beginning in 2017, the Alaska Marine Highway System M/V Columbia has served as a platform for surface underway data collection while conducting twice weekly ~1600-km transits between Bellingham, Washington and Skagway, Alaska. Provided here is the gap-filled CO2 partial pressure (pCO2) record including measurements of seawater pCO2 and pH described in our manuscript. A second dataset of discrete measurements of seawater pCO2 and total dissolved inorganic carbon (TCO2) is also provided.
description: Les informations sur la variabilité du système de CO2 marin ont été limitées le long du passage intérieur de la côte nord-ouest du Pacifique de l'Amérique du Nord, malgré la riche biodiversité de la région, les pêcheries abondantes et le développement de l'industrie aquacole. À partir de 2017, le système routier maritime de l'Alaska M/V Columbia a servi de plate-forme pour la collecte de données de surface en cours tout en effectuant deux fois par semaine des transits d'environ 1600 km entre Bellingham, Washington, et Skagway, en Alaska. Vous trouverez ici l'enregistrement de pression partielle de CO2 (pCO2) rempli d'un vide, y compris les mesures de pCO2 et de pH de l'eau de mer décrites dans notre manuscrit. Un deuxième ensemble de données de mesures discrètes du pCO2 de l'eau de mer et du carbone inorganique dissous total (TCO2) est également fourni.
DOI: 10.23728/b2share.afb20a34a6ac429ca6b759238d842765
title: Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the TERENO site Wüstebach

description: Dataset accompanying the publication "Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with (airborne) roving and hydrogravimetry" (ESSD, to be submitted) The publication contains records of cosmic ray neutron sensing (CRNS - stationary, roving, airborne roving), soil moisture (SoilNet, FDR, profile probes, gravimetric), hydro-gravimetry, soil properties (bulk density), vegetation / biomass surveys.
description: osmic ray neutron sensing (CRNS - stationary, roving, airborne roving), soil moisture (SoilNet, FDR, profile probes, gravimetric), hydro-gravimetry, soil properties (bulk density), vegetation / biomass surveys
DOI: 10.25532/opara-103
title: Supplementary material for Härtel, B., Jonkcheere, R., Wauschkuhn, B., Ratschbacher, L.: The closure temperature(s) of zircon Raman dating.

description: Collection of radiation-damage annealing results of laboratory experiments.
DOI: 10.26050/wdcc/lat-season-volcanic_mpi-esm-lr
title: Different latitudinal volcanic eruption simulations in different seasons met.fu-berlin MPI-ESM-LR echam monthly

description: Project: The hydrological effects of explosive volcanic eruptions in the Asian monsoon region - This project focus on the hydrological effects of explosive volcanic eruptions in the Asian monsoon region. Studies are conducted based on both tree ring-based proxy reconstruction data and model simulation from Coupled Model Intercomparison Project Phase 5 (CMIP5) and the Community Earth System Model (CESM) Large Ensemble Project. We also independently perform model simulations with the Max Planck Institute Earth System Model (MPI-ESM). This work is supported by China Scholarship Council (CSC). Summary: In order to explore the sensitivity of the climate impact of volcanic eruptions to eruption season and latitude, we simulate volcanic eruptions at different latitudes and in different seasons with the Max Planck Institute Earth System Model (MPI-ESM). We use the same configuration of the MPI-ESM model as used for the historical simulation of CMIP6. An initial run is performed firstly (PINArst). Then we perform 23 and 10 control runs without any volcanic eruption (PINAref and PINAwRef). Two groups of three different latitudinal volcanic eruptions in boreal summer and winter are simulated. We perform 10-member simulations for each eruption case. 9 Tg of total sulfur injection magnitude is prescribed. The eruption latitudes are set to be 0° for the equatorial eruptions (PINAeq and PINAwEQ) and 30° N and 30° S for the northern and southern hemispheric eruptions (PINAnh, PINAwNH, PINAsh and PINAwNH), respectively. For the summer eruptions, the date is set to be the same as the 1991 Pinatubo eruption on June 15, 1991; for the winter eruptions, the date is set to be December 15, 1991.
DOI: 10.26050/wdcc/sawam_d03_seas5_bcsd
title: Seasonal Water Resources Management for Semiarid Areas: Bias-corrected and spatially disaggregated seasonal forecasts for the Tekeze-Atbara and Blue Nile Basins (Ethiopia/Eritrea/Sudan)

description: Project: Seasonal Water Resources Management for Semiarid Areas: Regionalized Global Data and Transfer to Practise - GRoW-SaWaM (BMBF): The SaWaM-Project, which is funded by the German Federal Ministry of Education and Research (BMBF) within the "Water as a global Resource (GRoW)“ initiative, aims at the development of methods and products for improving the water management in semi-arid regions. The methodological core of the project is a model chain, where global hydrometeorological information is first adapted towards five different study regions in Brazil (Rio São Francisco Basin), Iran (Karun Basin), Sudan and Ethiopia (Tekeze-Atbara and Blue Nile Basins), Ecuador and Peru (Catamayo-Chira Basin) and West-Africa (Niger and Volta Basins). Special focus is put on the application of seasonal hydrometeorological forecasts, which give information about the precipitation or temperature to be expected during the coming months. The regionalized information is then used as driving data for hydrological and ecosystem models, which allow for the description of water-management-related parameters and aspects both in the past, but also for the coming months. Further information can be found at http://grow-sawam.org/. Summary: This dataset group contains the regionalised seasonal forecasts for the SaWaM study domain D03 (Tekeze-Atbara and Blue Nile Basins, Sudan and Ethiopia). The data is based on the latest seasonal forecast product SEAS5 from the European Centre for Medium Range Weather Forecast (ECMWF), which has been Bias-Corrected and Spatially Disaggregated (BCSD) towards the ERA5-Land high-resolution replay of the land component of ECMWF's ERA5 climate reanalysis. It hence provides a temporally and spatially consistent set of land surface variables for driving e.g. hydrological models or assessing the regional forecast skill of seasonal forecasts. Currently, the dataset group contains daily and monthly ensemble (re)forecasts during the period 1981 to 2019. In particular, each forecast with 25 (before 2017) and 51 (since 2017) ensemble members contains daily and monthly forecasts for precipitation, maximum, minimum, and average temperature as well as radiation from the issue date for the next 215 days.
DOI: 10.26179/5wkf-7361
title: ICECAP radargrams in support of the international old ice search at Dome C - 2016
DOI: 10.26186/147010
title: Australian Operating Mines Map 2021 Data

description: This data accompanies the Australian Operating Mines Map 2021 (twenty-second edition) March 2022. The Australian Operating Mines Map 2021 may be downloaded from the Geoscience Australia website at: http://pid.geoscience.gov.au/dataset/ga/146335
DOI: 10.3334/cdiac/otg.carina_icelandsea
title: Partial pressure (or fugacity) of carbon dioxide, dissolved inorganic carbon, temperature, salinity and other variables collected from discrete samples, profile and time series profile observations during the R/Vs Arni Fridriksson and Bjarni Saemundsson time series IcelandSea (LN6) cruises in the North Atlantic Ocean from 1985-02-22 to 2013-11-26 (NCEI Accession 0100063)

description: This dataset includes partial pressure (or fugacity) of carbon dioxide, dissolved inorganic carbon, temperature, salinity, nutrients and dissolved oxygen collected from discrete samples and profile observations during the R/Vs Arni Fridriksson and Bjarni Saemundsson time series IcelandSea (LN6) cruises in the North Atlantic Ocean from 1985-02-22 to 2013-11-26.
DOI: 10.5067/aura/omi/data2013
title: OMI/Aura Ozone (O3) DOAS Total Column Daily L2 Global 0.25 deg Lat/Lon Grid
DOI: 10.5067/gpm/imerg/3b-hh-e/06
title: GPM IMERG Early Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06
DOI: 10.5067/j9pkp1b9hx6f
title: MEaSUREs Greenland Image Mosaics from Sentinel-1A and -1B, Version 3
DOI: 10.5281/zenodo.10307316
title: EAT example applications

description: These are example applications for the Ensemble and Assimilation Tool (EAT).

Instructions for running these examples can be found in the contained README.md.
DOI: 10.5281/zenodo.12783434
title: Multibeam bathymetry data of RV Sonne cruise SO297, offshore Copiapó, Chile

description: The multibeam bathymetry was acquired with a Kongsberg Simrad EM122 system operating at 12 kHz with a beam width of 1° by 0.5°. The total swath width was set to 130° and high-density equidistant and chirp multi-ping modes were used to obtain a high-sounding density. Most of the multibeam data were acquired with a vessel speed of ~4 kn, with the remainder of the data being acquired at 7-8 kn. Data processing involved a triangulation filter with three iterations, and subsequent manual cleaning of the data. The data were gridded with a cell size of 50 m using a near-neighbor algorithm with a 60 m search radius.