cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.972020
title: Time series of autonomous phase-sensitive radar (ApRES) measurements at location EIS8 on Ekström Ice Shelf, Antarctica from January 2021 to November 2021

description: The dataset consists of raw data from autonomous phase-sensitive radar (ApRES) measurements. The ApRES was operated with two broadband frame antennas at the Ekström Ice Shelf since April 2020 with one measurement every hour. These Lagrangian measurements allow the estimation of basal melt rates based on estimated vertical displacements of englacial and basal reflections. The ApRES is an autonomous operating frequency-modulated continuous wave (FMCW) radar that transmits a tone sweep - called chirp - ranging from 200 to 400 MHz over a period of one second. In order to improve the signal-to-noise ratio, 20 chirps were transmitted within a single measurement. These measurements were repeated every hour. A raw data file contains up to 4 measurements. Background of the pRES-system is published by Nicholls et al. (2015). The processing of the data is described in Zeising et al. (2025). The time series contains a data gap from 1 April to 16 May 2021.
description: If you have questions, please contact Ole Zeising (ole.zeising@awi.de) or co-authors.Data were measured in the field by: Noah Trumpik, Ina Wehner (2019/20 & 2020/21); Timo Dornhöfer, Lorenz Marten (2020/21 & 2021/22); Falk Oraschewski, Martin Petri, Maximilian Betz (2022/23); Hameed Moqadam, Fyntan Shaw (2023/24).Data processing was done by Ole Zeising.This dataset has been planned by Olaf Eisen as part of the MIMO-EIS Project.
DOI: 10.1594/pangaea.972025
title: Time series of autonomous phase-sensitive radar (ApRES) measurements at location EIS8 on Ekström Ice Shelf, Antarctica from November 2021 to December 2022

description: The dataset consists of raw data from autonomous phase-sensitive radar (ApRES) measurements. The ApRES was operated with two broadband frame antennas at the Ekström Ice Shelf since April 2020 with one measurement every hour. These Lagrangian measurements allow the estimation of basal melt rates based on estimated vertical displacements of englacial and basal reflections. The ApRES is an autonomous operating frequency-modulated continuous wave (FMCW) radar that transmits a tone sweep - called chirp - ranging from 200 to 400 MHz over a period of one second. In order to improve the signal-to-noise ratio, 20 chirps were transmitted within a single measurement. These measurements were repeated every hour. A raw data file contains up to 4 measurements. Background of the pRES-system is published by Nicholls et al. (2015). The processing of the data is described in Zeising et al. (2025).
description: If you have questions, please contact Ole Zeising (ole.zeising@awi.de) or co-authors.Data were measured in the field by: Noah Trumpik, Ina Wehner (2019/20 & 2020/21); Timo Dornhöfer, Lorenz Marten (2020/21 & 2021/22); Falk Oraschewski, Martin Petri, Maximilian Betz (2022/23); Hameed Moqadam, Fyntan Shaw (2023/24).Data processing was done by Ole Zeising.This dataset has been planned by Olaf Eisen as part of the MIMO-EIS Project.
DOI: 10.1594/pangaea.972029
title: Time series of autonomous phase-sensitive radar (ApRES) measurements at location EIS8 on Ekström Ice Shelf, Antarctica from January 2023 to November 2023

description: The dataset consists of raw data from autonomous phase-sensitive radar (ApRES) measurements. The ApRES was operated with two broadband frame antennas at the Ekström Ice Shelf since April 2020 with one measurement every hour. These Lagrangian measurements allow the estimation of basal melt rates based on estimated vertical displacements of englacial and basal reflections. The ApRES is an autonomous operating frequency-modulated continuous wave (FMCW) radar that transmits a tone sweep - called chirp - ranging from 200 to 400 MHz over a period of one second. In order to improve the signal-to-noise ratio, 20 chirps were transmitted within a single measurement. These measurements were repeated every hour. A raw data file contains up to 4 measurements. Background of the pRES-system is published by Nicholls et al. (2015). The processing of the data is described in Zeising et al. (2025).
description: If you have questions, please contact Ole Zeising (ole.zeising@awi.de) or co-authors.Data were measured in the field by: Noah Trumpik, Ina Wehner (2019/20 & 2020/21); Timo Dornhöfer, Lorenz Marten (2020/21 & 2021/22); Falk Oraschewski, Martin Petri, Maximilian Betz (2022/23); Hameed Moqadam, Fyntan Shaw (2023/24).Data processing was done by Ole Zeising.This dataset has been planned by Olaf Eisen as part of the MIMO-EIS Project.
DOI: 10.1594/pangaea.972030
title: Time series of basal melt rates from autonomous phase-sensitive radar (ApRES) measurements at location EIS8 on Ekström Ice Shelf, Antarctica from January 2023 to November 2023

description: The dataset consists of derived melt rates from autonomous phase-sensitive radar (ApRES) measurements. The estimated basal melt rates are based on the analysis of firn densification, strain thinning, and the change in ice thickness from the determination of vertical displacements. The basal melt rates are averaged over 7 days (moving window). To represent the variability of the melt rate on sub-weekly timescales, we also calculated the 7 day standard deviation of the basal melt rates based on a 1 day moving window. The uncertainty of the basal melt rate is based on the uncertainty of the strain estimation and the determination of the ice thickness change. Data are exported in 4 hour intervals. A positive melt rate represents melting. Details on the processing are given in Zeising et al. (2025).
description: If you have questions, please contact Ole Zeising (ole.zeising@awi.de) or co-authors.Data were measured in the field by: Noah Trumpik, Ina Wehner (2019/20 & 2020/21); Timo Dornhöfer, Lorenz Marten (2020/21 & 2021/22); Falk Oraschewski, Martin Petri, Maximilian Betz (2022/23); Hameed Moqadam, Fyntan Shaw (2023/24).Data processing was done by Ole Zeising.This dataset has been planned by Olaf Eisen as part of the MIMO-EIS Project.
DOI: 10.1594/pangaea.966383
title: Carbon compounds, methane concentration and nutritional composition of water samples along the Elbe to the North Sea (German Bight) during the MOSES projects' Sternfahrt 9 in 2022

description: The "Sternfahrt 9" cruise was conducted from the 30th of May to the 2nd of June 2022, covering a late spring situation in the German Bight. The three participating vessels (Littorina, Uthörn and Ludwig Prandtl) covered a wide range from 7.6°E to 8.9°E and from 53.5°N to 54.8°N, following similar tracks and sampling stations like those of the "Sternfahrt 5" in September 2020. Objective of this cruise was to get new insights on the chemical transformation of Chlorophyll-a and dissolved organic matter from the Elbe, Tide-Elbe and North Sea. Therefore, each ship was continuously measuring different hydrographic parameters and greenhouse gases along their tracks (not included in the present dataset, please see article(s) 'related to'). Additionally, each day eight stations were run by the crews along their respective track (for a more detailed description see 'file description'). Thus, delivering discrete water samples for later analyses of DIC, TA, DOC, methane, nutrients and explosive metals. Due to partly bad weather not always all stations could be realized. While the vessel Littorina covered the south eastern part of the German Bight, the Ludwig Prandtl went further North until the small island Amrum. The Uthörn instead sampled on one side in the north of Heligoland and on the other side in the south and south-west towards Cuxhaven (see map in 'additional metadata'). For more detailed information about the MOSEShx campaign and the cruise Sternfahrt 9, see article cited in references.
DOI: 10.1594/pangaea.967442
title: Moses Sternfahrt-9, Chemical transformation of chlorophyll-a and dissolved organic matter along the Elbe to the North Sea (German Bight) in 2022

description: As the previous cruises were mainly conducted in August / September, this cruise was set up to cover a late spring situation in the German Bight. The cruise track and positions of the stations were similar to Sternfahrt_5 in September 2020, thus covering a wide range from 7.6°E to 8.9°E and from 53.5°N to 54.8°N. Continuous sampling for Chlorophyll-a and dissolved organic matter from the Elbe, Tide-Elbe and North Sea and subsequent detailed analysis at the UFZ will give new insights on the chemical transformations of these compounds. The southern North Sea (German Bight) is influenced by the water flowing into the Tide-Elbe area and how it is further modified. For a better understanding of the different branches of relevant events it is necessary to investigate the main impacting factors for the terrestrial and coastal water quality. Therefore, during different cruises between 2019 and 2022 a group of parameters was continuously traced from the Elbe River basin (Czech/German border) to Tide-Elbe and Elbe estuary (Hamburg, Germany) until the German Bight. The vessel Littorina started already on the 29th of May in Kiel heading to the assembly point Cuxhaven and setting up the sensor systems. On May 30th all ships began the cruise traveling to Heligoland, nevertheless only the Ludwig Prandtl and Littorina could realize the first inter-calibration station (see file description) in front of Cuxhaven. An inter-calibration with all ships was conducted the next morning (31st of May) in front of Heligoland, before they went separate ways. While the Littorina crew covered the eastern part of the sampling area going towards Büsum, the scientists from Ludwig Prandtl headed further North to the island Amrum and the Uthörn covered the western part (see map in additional metadata). Littorina followed on the way to Büsum a more direct track, while on its way back to Heligoland on June 1st, the crew took a different route to extend the area further north. On the 2nd of June they travelled straight back to Cuxhaven to the last joined station with all three vessels. Instead, Ludwig Prandtl stayed the third and fourth day around Amrum, where they had to start sampling early in the morning (03:44h, 03:30h), due to the tide dependent entrance to the port. From there they headed directly back to Cuxhaven. The vessel Uthörn made a circuit north of Heligoland on the second day. On the third day the crew navigated from Heligoland to Cuxhaven and back to Heligoland in a triangle form. The last day the vessel headed back to Bremerhaven with a detour in Cuxhaven. Thus, all vessels closed the survey on the 2nd of June with a last inter-calibration station off Cuxhaven at about 10h. Additional information about the whole campaign and different cruises can be found in the article(s) cited, see also 'related to'.
DOI: 10.1594/pangaea.983997
title: 2005 to 2014 time series of Conductivity, Temperature, Depth (CTD) data from PALAOA sub-ice-shelf mooring below Ekström Ice Shelf, Dronning Maud Land, Antarctica

description: Physical oceanography at the PerenniAL Acoustic Observatory in the Antarctic Ocean (Boebel et al. 2006). In the 2005/06 Antarctic field season, a Sea-Bird SBE37SM-RS232 conductivity-temperature-depth (CTD) recorder was deployed through a hot-water-drill hole approximately 1-3 km from the ice shelf front. The sensor was placed about midway in the water column below the ice shelf, with a cabled connection for data transfer and power supply to the surface. This dataset is an updated version of Kindermann (2011, doi:10.1594/PANGAEA.770298), containing the complete timeseries throughout the entire lifetime of the observatory before it was lost through calving of the ice front.
DOI: 10.15468/dl.kakjtb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Piaya cayana)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022824-250802193616735/datasets/export for details.
DOI: 10.1594/pangaea.972232
title: Satellite Color Images, Vegetation Indices, and Metabolism Indices from Heidelberg, Germany from 1984 – 2023

description: The "Germany Mosaic" is a time series of Landsat satellite images and vectorized segments covering the entirety of Germany from 1984 to 2023. The image data are divided into TK100 sheet sections (see further details: Blattschnitt der Topographischen Karte 1:100 000). The dataset provides optimized 6-band imagery for each year, representing summer (May to July) and autumn (August to October) seasons, along with vegetation indices such as NDVI (Normalized Difference Vegetation Index) and NirV (Near-Infrared Reflectance of Vegetation) for the same periods. Additionally, vectorized "zones" of approximately homogeneous pixels are available for each year. The spectral properties of the image data and the morphological characteristics of these zones are included as vector attributes (see Documentation: "Mosaic (1984–2023) - Data Description"). An overview of the coverage and quality of all sheet sections is provided as a vector layer titled D-Mosaik_Sheet-Sections within this document.The Germany Mosaic can also be considered a spatial-temporal Data Cube, enabling advanced analysis and integration into workflows requiring multi-dimensional data. This structure allows users to perform operations such as querying data across specific time periods, analyzing trends over decades, or aggregating spatial information to generate tailored insights for a wide range of research applications.In mid-latitudes, seasonal variations in vegetation—and consequently in the image data—are typically more pronounced than changes occurring over several years. The temporal segmentation of the dataset has been designed to encompass the entire vegetation period (May to October), with the division into summer and autumn periods capturing seasonal metabolic shifts in natural biotopes. This segmentation also records most agricultural changes, including sowing and harvesting activities. Depending on weather conditions, the individual image data represent either the median, mean value, or the best available image for the specified time period (see Documentation: "Mosaic (1984–2023) - Data Description).Remote sensing has become an indispensable tool for environmental research, particularly in landscape analysis. Beyond conventional applications, the Germany Mosaic supports the development of digital twins in environmental system research. By providing detailed spatial and temporal data, this dataset enables the modeling of virtual ecosystems, facilitating simulations, scenario testing, and predictive analyses for sustainable management. Moreover, the spatial and temporal trends captured by remotely sensed parameters complement traditional approaches in biological, ecological, geographical, and epidemiological research.
DOI: 10.1594/pangaea.972015
title: Time series of basal melt rates from autonomous phase-sensitive radar (ApRES) measurements at location EIS8 on Ekström Ice Shelf, Antarctica from April 2020 to January 2021

description: The dataset consists of derived melt rates from autonomous phase-sensitive radar (ApRES) measurements. The estimated basal melt rates are based on the analysis of firn densification, strain thinning, and the change in ice thickness from the determination of vertical displacements. The basal melt rates are averaged over 7 days (moving window). To represent the variability of the melt rate on sub-weekly timescales, we also calculated the 7 day standard deviation of the basal melt rates based on a 1 day moving window. The uncertainty of the basal melt rate is based on the uncertainty of the strain estimation and the determination of the ice thickness change. Data are exported in 4 hour intervals. A positive melt rate represents melting. Details on the processing are given in Zeising et al. (2025).
description: If you have questions, please contact Ole Zeising (ole.zeising@awi.de) or co-authors.Data were measured in the field by: Noah Trumpik, Ina Wehner (2019/20 & 2020/21); Timo Dornhöfer, Lorenz Marten (2020/21 & 2021/22); Falk Oraschewski, Martin Petri, Maximilian Betz (2022/23); Hameed Moqadam, Fyntan Shaw (2023/24).Data processing was done by Ole Zeising.This dataset has been planned by Olaf Eisen as part of the MIMO-EIS Project.
DOI: 10.1594/pangaea.972026
title: Time series of basal melt rates from autonomous phase-sensitive radar (ApRES) measurements at location EIS8 on Ekström Ice Shelf, Antarctica from November 2021 to December 2022

description: The dataset consists of derived melt rates from autonomous phase-sensitive radar (ApRES) measurements. The estimated basal melt rates are based on the analysis of firn densification, strain thinning, and the change in ice thickness from the determination of vertical displacements. The basal melt rates are averaged over 7 days (moving window). To represent the variability of the melt rate on sub-weekly timescales, we also calculated the 7 day standard deviation of the basal melt rates based on a 1 day moving window. The uncertainty of the basal melt rate is based on the uncertainty of the strain estimation and the determination of the ice thickness change. Data are exported in 4 hour intervals. A positive melt rate represents melting. Details on the processing are given in Zeising et al. (2025).
description: If you have questions, please contact Ole Zeising (ole.zeising@awi.de) or co-authors.Data were measured in the field by: Noah Trumpik, Ina Wehner (2019/20 & 2020/21); Timo Dornhöfer, Lorenz Marten (2020/21 & 2021/22); Falk Oraschewski, Martin Petri, Maximilian Betz (2022/23); Hameed Moqadam, Fyntan Shaw (2023/24).Data processing was done by Ole Zeising.This dataset has been planned by Olaf Eisen as part of the MIMO-EIS Project.
DOI: 10.1594/pangaea.972021
title: Time series of basal melt rates from autonomous phase-sensitive radar (ApRES) measurements at location EIS8 on Ekström Ice Shelf, Antarctica from January 2021 to November 2021

description: The dataset consists of derived melt rates from autonomous phase-sensitive radar (ApRES) measurements. The estimated basal melt rates are based on the analysis of firn densification, strain thinning, and the change in ice thickness from the determination of vertical displacements. The basal melt rates are averaged over 7 days (moving window). To represent the variability of the melt rate on sub-weekly timescales, we also calculated the 7 day standard deviation of the basal melt rates based on a 1 day moving window. The uncertainty of the basal melt rate is based on the uncertainty of the strain estimation and the determination of the ice thickness change. Data are exported in 4 hour intervals. A positive melt rate represents melting. Details on the processing are given in Zeising et al. (2025). The time series contains a data gap from 1 April to 16 May 2021.
description: If you have questions, please contact Ole Zeising (ole.zeising@awi.de) or co-authors.Data were measured in the field by: Noah Trumpik, Ina Wehner (2019/20 & 2020/21); Timo Dornhöfer, Lorenz Marten (2020/21 & 2021/22); Falk Oraschewski, Martin Petri, Maximilian Betz (2022/23); Hameed Moqadam, Fyntan Shaw (2023/24).Data processing was done by Ole Zeising.This dataset has been planned by Olaf Eisen as part of the MIMO-EIS Project.
DOI: 10.1594/pangaea.963455
title: Carbon compounds, nutrients and methane from water samples from MOSES project's cruise Sternfahrt 8, September 2021

description: The cruise Sternfahrt_8 was a continuation of the previous Sternfahrten (1-7). This time the aim was to assess not only the spatial variability but also the temporal variance of chemical, physical and greenhouse gases in the German Bight (North Sea). Therefore, three ships with different tracks repeated the same track with the same stations for four days (GPS-Positions see metadata). One Ship (Uthörn) covered the western part of our study area, the second ship (Littorina) covered the northern part (Büsum – Heligoland) and the third ship (Ludwig Prandtl) was supposed to take the middle part (Cuxhaven – Heligoland), but due to vandalism damage in the beginning of the cruise this ship was not able to participate in the cruise. Apart from continuously measurements six CTD stations were run each day delivering discrete water samples for DIC, TA, DOC, methane, nutrients and explosive metals. This dataset contains the results from the latter water samples. For more detailed information about the MOSEShx campaign and the cruise Sternfahrt_8 respectively see article cited in references.
DOI: 10.15468/dl.7zztuk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of ()",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022827-250802193616735/datasets/export for details.
DOI: 10.1594/pangaea.983393
title: Seawater carbonate chemistry and feeding behavior and physiology of two sympatric mesograzers

description: This study investigated the interactive effects of ocean warming and acidification on the feeding behavior and physiology of two sympatric amphipods, Hyale niger and Cymadusa filosa. Using an orthogonal experimental design with two temperatures (27 °C and 30 °C) and two pH levels (7.8 and 7.5), we assessed feeding rates, respiration rates, ammonAnimaliaia excretion, and O/N ratios. This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from Mendeley Data (see Source) by the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2025-06-25.
DOI: 10.1594/pangaea.983493
title: Physical oceanographic profiles of 5 CTD casts during RV MARIA S. MERIAN cruise MSM127/1 off Gran Canaria in March 2024

description: During cruise MSM127/1 of the RV MARIA S. MERIAN from 08 to 13 March 2024, the CTD/rosette (type Seabird SBE911plus with SBE-32 rosette) was deployed 5 times in the Canary Islands region for technical tests. The collected CTD data set include water temperature, salinity, oxygen concentration, and fluorescence.
description: The files contain the columns depth (m; calculated from pressure), potential temperature (°C), salinity (psu; calculated from conductivity), oxygen (µmol/l; SBE 43), and fluorescence (mg/m^3; Wet Labs ECO-AFL/FL). Processing was conductet using the SBE Data Processing software, version 7.26.7.1