cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17600759
title: Bathymetry of Lake Motzfeldt (South Greenland)

description: This dataset contains bathymetric measurements of Lake Motzfeldt in South Greenland. The measurements were conducted with a Kongsberg EA440 single-beam echo-sounder with a 38|200 khz combi transducer. The instrument was mounted to an aluminium frame attached to an inflatable boat. An Emlid Reach RS3 GNSS receiver was used for geolocation. The measurements were corrected for sound velocity based on a CTD measurement in the lake. The data was manually cleaned from outliers. The data was aquired during two field campaings in August 2024 and August 2025.

We provide the cleaned xyz data in a .csv format for both frequencies and both field campaings. Additionally, we provide xyz points for the shoreline of the lake.



LM_2024_38khz.csv

LM_2024_200khz.csv

LM_2025_38khz.csv

LM_2025_200khz.csv

LM_shoreline.csv


Furthermore, we provide gridded bathymetry in .tif format for the 200 khz frequency at 25 m resolution:



LM_bathy_grid_positive.tif


The grid files were produced using the Python implementation of the Generic Mapping Tool (PyGMT), by calculating a block-median with a grid cell-size of 25 m, before applying a spline interpolation function with a tension factor of 0.6. The coordinate system is EPSG 3413.

Reference: Vacek, F., Nick, F. M., Benn, D., Zwarts, M. P. A., Immerzeel, W., and van de Wal, R. S. W.: Contrasting dynamics of lake- and marine-terminating glaciers under same climatic conditions, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-5733, 2025.
DOI: 10.7289/v5gt5kgx
title: Dissolved inorganic carbon, total alkalinity, pH on Total Scale, nutrients and other variables collected from profile and discrete sample observations during NOAA Ship Henry B. Bigelow cruise HB1701 (EXPOCODE 33HH20170211) in the Gulf of Maine, Georges Bank, and Mid-Atlantic Bight from 2017-02-11 to 2017-02-23 (NCEI Accession 0169111)

description: This dataset contains dissolved inorganic carbon, total alkalinity, pH on total scale, nutrients and other variables measured from profile discrete measurement during NOAA Ship Henry B. Bigelow cruise HB1701 (EXPOCODE 33HH20170211) in the Gulf of Maine, Georges Bank, and Mid-Atlantic Bight from 2017-02-11 to 2017-02-23. Increasing amounts of atmospheric carbon dioxide from human industrial activities are causing changes in global ocean carbon chemistry resulting in a reduction in pH, a process termed ocean acidification. Studies have demonstrated adverse effects on calcifying organisms, particularly some invertebrates, corals, sea urchins, pteropods, and coccolithophores. This effort is in support of the coastal monitoring and research objectives of the NOAA Ocean Acidification Program (OAP).
DOI: 10.7289/v57942z8
title: Dissolved inorganic carbon, total alkalinity, pH on Total Scale, nutrients and other variables collected from profile and discrete sample observations using CTD, Niskin bottle and other instruments onboard NOAA Ship Gordon Gunter in the Gulf of Maine, Georges Bank, and Mid-Atlantic Bight from 2017-05-16 to 2017-06-21 (NCEI Accession 0170177)

description: This dataset contains dissolved inorganic carbon, Total alkalinity, pH on Total Scale, nutrients and other variables measured from profile discrete measurement in the Northeast coast of the US. Increasing amounts of atmospheric carbon dioxide from human industrial activities are causing changes in global ocean carbon chemistry resulting in a reduction in pH, a process termed ocean acidification. Studies have demonstrated adverse effects on calcifying organisms, particularly some invertebrates, corals, sea urchins, pteropods, and coccolithophores. This effort is in support of the coastal monitoring and research objectives of the NOAA Ocean Acidification Program (OAP).
DOI: 10.15468/dl.nbxv96
title: Occurrence Download

description: A dataset containing 1324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ixias marianne"
 ]
}

 The dataset includes 1324 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053415-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v53j3b8d
title: Population and biomass of United States sea scallop (Placopecten magellanicus) from an Atlantic Sea Scallop Integrated Assessment Model (NCEI Accession 0171620)

description: This dataset includes the model output results published in Cooley et al. (2015), which described an integrated assessment model (IAM) that numerically simulates oceanographic, population dynamic, and socioeconomic relationships for the U.S. commercial sea scallop fishery. Ocean acidification, the progressive change in ocean chemistry caused by uptake of atmospheric CO2, is likely to affect some marine resources negatively, including shellfish. The Atlantic sea scallop (Placopecten magellanicus) supports one of the most economically important single-species commercial fisheries in the United States. Careful management appears to be the most powerful short-term factor affecting scallop populations, but in the coming decades scallops will be increasingly influenced by global environmental changes such as ocean warming and ocean acidification. This analysis drew heavily on publicly available datasets of which some is reported in Cooley at al. (2015). We did not include the publicly available data in this dataset.
DOI: 10.5281/zenodo.17601785
title: Temperature and pressure measurements in Lake Motzfeldt (South Greenland)

description: Here we provide 3 conductivity, temperature and depth (CTD) measurements, and a temperature and depth (TD) time series for Lake Motzfeldt. The CTD measurements were taken with an RBR concerto in August 2025. The time series was measured with an RBR Duet3 between August 2024 and August 2025. The time series was corrected for atmospheric pressure variations with a Van Essen Diver placed close to the lake (baro.csv). All coordinates of CTD and TD measurements are provided in coordinates.txt. The .rsk files can be read with the pyRSKtools Python package.



CTD01_230582_20250731_1537.rsk

CTD02_230582_20250803_1648.rsk

CTD03_230582_20250801_1657.rsk

TD_230400_20250801_1925.rsk

baro.csv

coordinates.txt


Reference: Vacek, F., Nick, F. M., Benn, D., Zwarts, M. P. A., Immerzeel, W., and van de Wal, R. S. W.: Contrasting dynamics of lake- and marine-terminating glaciers under same climatic conditions, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-5733, 2025.
DOI: 10.5281/zenodo.17601786
title: Temperature and pressure measurements in Lake Motzfeldt (South Greenland)

description: Here we provide 3 conductivity, temperature and depth (CTD) measurements, and a temperature and depth (TD) time series for Lake Motzfeldt. The CTD measurements were taken with an RBR concerto in August 2025. The time series was measured with an RBR Duet3 between August 2024 and August 2025. The time series was corrected for atmospheric pressure variations with a Van Essen Diver placed close to the lake (baro.csv). All coordinates of CTD and TD measurements are provided in coordinates.txt. The .rsk files can be read with the pyRSKtools Python package.



CTD01_230582_20250731_1537.rsk

CTD02_230582_20250803_1648.rsk

CTD03_230582_20250801_1657.rsk

TD_230400_20250801_1925.rsk

baro.csv

coordinates.txt


Reference: Vacek, F., Nick, F. M., Benn, D., Zwarts, M. P. A., Immerzeel, W., and van de Wal, R. S. W.: Contrasting dynamics of lake- and marine-terminating glaciers under same climatic conditions, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-5733, 2025.
DOI: 10.21227/fjdp-xf90
title: "HPNet datasets"

description: "This dataset contains cervical health and head\u2013neck motion data collected from 40 healthy male and female university students. For each participant, cervical range of motion was measured under six standard neck movements: Backward Extension (BE), Forward Flexion (FF), Left Lateral Flexion (LLF), Right Lateral Flexion (RLF), Left Rotation (LR), and Right Rotation (RR).Each movement was repeated three times to ensure measurement reliability. For every trial, cervical angles were first measured using a Cervical Range of Motion (CROM) device, followed by image acquisition for head pose estimation. All images were subsequently processed using HPNet to extract head pose parameters.To protect participant privacy, all images were captured exclusively from the posterior (back) view, and no facial or identifiable personal information is included in the dataset. The dataset is intended to support research on cervical motion assessment, head pose estimation, and data-driven neck health analysis, and can serve as a benchmark for developing and validating computer vision and machine learning methods in biomedical and health informatics."
DOI: 10.25921/b2g4-bs86
title: Benthic Epifauna Biomass and Abundance Data in the Chukchi Sea, Arctic Marine Biodiversity Observing Network (AMBON) research cruise on the Norseman II from 2015-08-09 to 2015-09-03 (NCEI Accession 0177837)

description: This dataset contains benthic epifauna biomass and abundance data collected in the Chukchi Sea, U.S. Arctic during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise aboard the vessel Norseman II. The dataset contains two comma separated values (csv) files exported from Microsoft Excel. These data were generated from epifauna samples conducted using beam trawls during the research cruise. The data in the file named AMBON2015_epifauna_abundance_DWC.csv describes abundance per taxon of epibenthic invertebrates. The data in the file named AMBON2015_epifauna_biomass_DWC.csv describes biomass per taxon of epibenthic invertebrates. This dataset was transformed into a table structure using Darwin Core term names as column names.
DOI: 10.25921/5n5e-sb72
title: Dissolved inorganic carbon, total alkalinity, pH on Total Scale, nutrients and other variables collected from profile and discrete sample observations using CTD, Niskin bottle and other instruments onboard NOAA Ship Gordon Gunter in the Gulf of Maine, Georges Bank, and Mid-Atlantic Bight from 2017-10-31 to 2017-11-11 (NCEI Accession 0177943)

description: This dataset contains dissolved inorganic carbon, Total alkalinity, pH on Total Scale, nutrients and other variables measured from profile discrete measurement in the Northeast coast of the US in 2017. Increasing amounts of atmospheric carbon dioxide from human industrial activities are causing changes in global ocean carbon chemistry ultimately resulting in a reduction in pH, a process termed ocean acidification. Studies have demonstrated adverse effects on calcifying organisms, particularly some invertebrates, corals, sea urchins, pteropods, and coccolithophores, but also on species of commercial interest such as oysters or crabs. In support of the coastal monitoring and research objectives of the NOAA Ocean Acidification Program (OAP), the Ecosystem Monitoring Cruises (ECOMON) are utilized to collect water samples to measure water column inorganic carbon and hydrographic parameters including nutrients. Samples are collected at three depths (surface, mid-depth and near bottom) at select stations on a quarterly basis in the northeastern Atlantic continental shelf region off the United States. Water samples are sent to and analyzed by scientists at the Atlantic Oceanographic & Meteorological Laboratory (AOML) for dissolved inorganic carbon, pH and total alkalinity concentrations. Additional samples are analyzed for nutrient concentrations at the University of Maine. These data are used to monitor short-long term coastal ocean acidification trends.
DOI: 10.60629/w3ha-9780
title: Dataset used in the publication: Everywoman’s Story: Reading Abortion Eve and Not Funny Ha Ha as Graphic Biofiction and Zóéfiction

description: <p>Project &#34;Ciąża, ciało i prawa reprodukcyjne w amerykańskich komiksach i powieściach graficznych (1970-2022)&#34;, numer 2022/47/D/HS2/00054, National Science Centre, Poland.</p><p>This file contains the list of references and dataset related to the article &#34;Everywoman’s Story: Reading <em>Abortion Eve</em> and <em>Not Funny Ha Ha </em>as Graphic Biofiction and Zóéfiction&#34; published in Comics Grid-Journal of Comics Scholarship, ISSN 2048-0792 (DOI: 10.16995/cg.17501)</p>
DOI: 10.25921/9apk-xs73
title: Dissolved inorganic carbon, total alkalinity, pH on Total Scale, nutrients and other variables collected from profile and discrete sample observations using CTD, Niskin bottle and other instruments on board NOAA Ship Henry B. Bigelow in the Gulf of Maine, Georges Bank, and Mid-Atlantic Bight from 2018-05-23 to 2018-06-04 (NCEI Accession 0183469)

description: This dataset contains dissolved inorganic carbon, Total alkalinity, pH on Total Scale, nutrients and other variables measured from profile discrete measurement in the Northeast coast of the US in 2018. Increasing amounts of atmospheric carbon dioxide from human industrial activities are causing changes in global ocean carbon chemistry ultimately resulting in a reduction in pH, a process termed ocean acidification. Studies have demonstrated adverse effects on calcifying organisms, particularly some invertebrates, corals, sea urchins, pteropods, and coccolithophores, but also on species of commercial interest such as oysters or crabs. In support of the coastal monitoring and research objectives of the NOAA Ocean Acidification Program (OAP), the Ecosystem Monitoring Cruises (ECOMON) are utilized to collect water samples to measure water column inorganic carbon and hydrographic parameters including nutrients. Samples are collected at three depths (surface, mid-depth and near bottom) at select stations on a quarterly basis in the northeastern Atlantic continental shelf region off the United States. Water samples are sent to and analyzed by scientists at the Atlantic Oceanographic & Meteorological Laboratory (AOML) for dissolved inorganic carbon, pH and total alkalinity concentrations. Additional samples are analyzed for nutrient concentrations at the University of Maine. These data are used to monitor short-long term coastal ocean acidification trends.
DOI: 10.18112/openneuro.ds006893.v1.0.3
title: The interplay of central insulin and menstrual cycle on functional brain networks and neural food cue reactivity in women
DOI: 10.5281/zenodo.17602737
title: Supporting data for: "Contrasting dynamics of lake- and marine-terminating glaciers under same climatic conditions" submitted to The Cryosphere.

description: This dataset contains supporting data for "Contrasting dynamics of lake- and marine-terminating glaciers under same climatic conditions" submitted to The Cryosphere on 14 Nov 2025.

The zip archive contains numbered folders, which correspond to the numbering of the methods section of the manuscript. Specificly we provide:



3.1 glacier margins for Qooqqup Sermia (.shp files)

3.2 co-registered arctic DEMs (.tif files)

3.3 extracted ITS_LIVE ice velocities (.csv files)

3.6 the floatation index (.tif file)

3.7 lake ice classification (.xlsx file)

3.8 extracted model and climate data (ORAS5, RACMO) (.csv files)


Other data required to reproduce the results is available at the below sources. Also see the section "code and data availability" in the manuscript:



3.2 original ArcticDEM strips: https://www.pgc.umn.edu/data/arcticdem/

3.3 raw ITS_LIVE ice velocity data at https://its-live.jpl.nasa.gov/

3.4 temperature and pressure data available at: https://doi.org/10.5281/zenodo.17601785

3.5 bathymetry data available at: https://doi.org/10.5281/zenodo.17600758

3.8 climate data from DMI weather station: https://www.dmi.dk/publikationer

3.8 ORAS5 data at: https://cds.climate.copernicus.eu/datasets/reanalysis-oras5?tab=overview


Jupyter Notebooks to create the figures can be found at: https://doi.org/10.5281/zenodo.17603518

 

Reference: Vacek, F., Nick, F. M., Benn, D., Zwarts, M. P. A., Immerzeel, W., and van de Wal, R. S. W.: Contrasting dynamics of lake- and marine-terminating glaciers under same climatic conditions, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-5733, 2025.
DOI: 10.5281/zenodo.17602738
title: Supporting data for: "Contrasting dynamics of lake- and marine-terminating glaciers under same climatic conditions" submitted to The Cryosphere.

description: This dataset contains supporting data for "Contrasting dynamics of lake- and marine-terminating glaciers under same climatic conditions" submitted to The Cryosphere on 14 Nov 2025.

The zip archive contains numbered folders, which correspond to the numbering of the methods section of the manuscript. Specificly we provide:



3.1 glacier margins for Qooqqup Sermia (.shp files)

3.2 co-registered arctic DEMs (.tif files)

3.3 extracted ITS_LIVE ice velocities (.csv files)

3.6 the floatation index (.tif file)

3.7 lake ice classification (.xlsx file)

3.8 extracted model and climate data (ORAS5, RACMO) (.csv files)


Other data required to reproduce the results is available at the below sources. Also see the section "code and data availability" in the manuscript:



3.2 original ArcticDEM strips: https://www.pgc.umn.edu/data/arcticdem/

3.3 raw ITS_LIVE ice velocity data at https://its-live.jpl.nasa.gov/

3.4 temperature and pressure data available at: https://doi.org/10.5281/zenodo.17601785

3.5 bathymetry data available at: https://doi.org/10.5281/zenodo.17600758

3.8 climate data from DMI weather station: https://www.dmi.dk/publikationer

3.8 ORAS5 data at: https://cds.climate.copernicus.eu/datasets/reanalysis-oras5?tab=overview


Jupyter Notebooks to create the figures can be found at: https://doi.org/10.5281/zenodo.17603518

 

Reference: Vacek, F., Nick, F. M., Benn, D., Zwarts, M. P. A., Immerzeel, W., and van de Wal, R. S. W.: Contrasting dynamics of lake- and marine-terminating glaciers under same climatic conditions, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-5733, 2025.
DOI: 10.5281/zenodo.17213825
title: Gunkanjima Quadruped Robot Lidar Dataset

description: This dataset provides LiDAR point clouds and IMU measurements collected on Gunkanjima (Hashima Island), a UNESCO World Cultural Heritage site, using a Unitree Go2 quadruped robot equipped with a Livox Mid-360 LiDAR.

The data were recorded during field experiments in which the robot was teleoperated to traverse both indoor and outdoor environments of Building No. 65, one of the largest concrete apartment on the island. The dataset includes logs acquired while walking through deteriorated building interiors, staircases, corridors, rooftops, and surrounding outdoor areas under severe rough-terrain conditions.

 

More details of this dataset can be found in the following paper:

K. Irie, T. Yoshida, Y. Okada, K. Ohno, "Evaluation of Quadruped Robot Mobility on Gunkanjima", SI2025, 3D2-01
DOI: 10.5281/zenodo.17213826
title: Gunkanjima Quadruped Robot Lidar Dataset

description: This dataset provides LiDAR point clouds and IMU measurements collected on Gunkanjima (Hashima Island), a UNESCO World Cultural Heritage site, using a Unitree Go2 quadruped robot equipped with a Livox Mid-360 LiDAR.

The data were recorded during field experiments in which the robot was teleoperated to traverse both indoor and outdoor environments of Building No. 65, one of the largest concrete apartment on the island. The dataset includes logs acquired while walking through deteriorated building interiors, staircases, corridors, rooftops, and surrounding outdoor areas under severe rough-terrain conditions.

 

More details of this dataset can be found in the following paper:

K. Irie, T. Yoshida, Y. Okada, K. Ohno, "Evaluation of Quadruped Robot Mobility on Gunkanjima", SI2025, 3D2-01
DOI: 10.6084/m9.figshare.30877109
title: Spectral information of common carp scales in 2022

description: The polyunsaturated fatty acids (PUFAs), particularly eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), are critical determinants of the nutritional quality of fish. To rapidly and non-destructively determinate the muscular PUFAs in living fish, an accuracy technique is urgently needed. In this study, we combined skin hyperspectral imaging (HSI) and machine learning (ML) methods to assess the muscular PUFAs contents of common carp. Hyperspectral images of the live fish skin were acquired in the 400-1000 nm spectral range. The spectral data were preprocessed using Savitzky–Golay (SG), multivariate scattering correction (MSC), and standard normal variable (SNV) methods, respectively. The competitive adaptive reweighted sampling (CARS) method was applied to extract the optimal wavelengths. With the skin spectra of fish, five ML methods, including the extreme learning machine (ELM), random forest (RF), radial basis function (RBF), back propagation (BP), and least squares support vector machine (LS-SVM) methods, were used to predict the PUFAs and EPA+DHA contents.
DOI: 10.6084/m9.figshare.30877109.v1
title: Spectral information of common carp scales in 2022

description: The polyunsaturated fatty acids (PUFAs), particularly eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), are critical determinants of the nutritional quality of fish. To rapidly and non-destructively determinate the muscular PUFAs in living fish, an accuracy technique is urgently needed. In this study, we combined skin hyperspectral imaging (HSI) and machine learning (ML) methods to assess the muscular PUFAs contents of common carp. Hyperspectral images of the live fish skin were acquired in the 400-1000 nm spectral range. The spectral data were preprocessed using Savitzky–Golay (SG), multivariate scattering correction (MSC), and standard normal variable (SNV) methods, respectively. The competitive adaptive reweighted sampling (CARS) method was applied to extract the optimal wavelengths. With the skin spectra of fish, five ML methods, including the extreme learning machine (ELM), random forest (RF), radial basis function (RBF), back propagation (BP), and least squares support vector machine (LS-SVM) methods, were used to predict the PUFAs and EPA+DHA contents.