cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.964977
title: Radar reflectivities at 94 GHz and microwave brightness temperature measurements at 89 GHz during the HALO-AC3 Arctic airborne campaign

description: The published data set consists of measurements performed by the active cloud radar as part of the Microwave Radar and radiometer for Arctic Clouds (MiRAC; Mech et al., 2019) operated on board the Polar 5 research aircraft during 11 flights of the HALO-AC3 airborne campaign, carried out in early spring 2022 northwest of Svalbard (Norway). The measurement campaign is embedded in the Transregional Collaborative Research Centre TR 172 (ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3. The published data set consists of radar reflectivities of the FMCW 94 GHz cloud radar transformed to nadir view and brightness temperature measurements at 89 GHz with a 25 deg backward inclination with respect to the aircraft's fuselage. It should be considered that the brightness temperatures have not been corrected for aircraft attitude. The data set has been quality-checked and is available in NetCDF format for each flight separately.Details on the instrument can be found in Mech et al. (2019).
DOI: 10.1594/pangaea.964985
title: Cloud mask and cloud top altitude from the AMALi airborne lidar on Polar 5 during HALO-AC3 in spring 2022

description: The data set contains the cloud mask and cloud top altitude derived from measurements with the Airborne Mobile Aerosol Lidar (AMALi; Stachlewska et al., 2010) operated on board the Polar 5 research aircraft during 11 flights of the HALO-AC3 airborne campaign carried out in early spring 2022 northwest of Svalbard (Norway). The measurement campaign is embedded in the Transregional Collaborative Research Centre TR 172 (ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3. It should be considered that the measurements have not been corrected for aircraft attitude. The data set has been quality-checked and is available in NetCDF format for each flight separately.
DOI: 10.1594/pangaea.965734
title: French Airborne Measurement Platform (PMA) cloud particle size distribution and volumic cloud particle scattering properties dataset near Svalbard for the HALO-AC3 measurement campaign in 2022

description: This data set is composed of in-situ measurement of arctic cloud microphysical properties (particle size distribution and volumic cloud particle scattering properties) observed during the HALO-AC3 campaign, which occurred between March 20th and April 10th 2022. These measurements were made using the 2D stereoscopic (2D-S, SPEC Inc.) and Polar Nephelometer (Gayet et al., 1997) 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 list of the parameters present in the data set is added in a separate document (see "Further details" link).
DOI: 10.1594/pangaea.967288
title: Radiance fields of clouds and the Arctic surface measured by a digital camera during HALO-(AC)3

description: During the HALO-(AC)3 campaign performed in March/April 2022 a downward-looking commercial digital camera equipped with a 180° - fisheye lens was installed on the aircraft Polar 5. Images of the Arctic surface and clouds were taken every 4 - 6 seconds. The data set provides rectified fields of calibrated radiances along the flight track for the three spectral bands (red, green, and blue).
DOI: 10.1594/pangaea.967347
title: Spectral solar cloud top radiance measured by airborne spectral imaging (AISA Eagle) during the HALO-(AC)³ campaign in 2022

description: In this dataset we provide hyper-spectral fields of visible and near infrared cloud top radiance observed by the AISA Eagle instrument. This instrument was part of the HALO-(AC)³ campaign in March/April 2022. The dataset contains hyperspectral fields of visible and near infrared cloud top radiance observed. AISA Eagle uses a single-line push broom sensor comprising 1024 across-track pixels, it captures measurements of 2D fields of upward radiance across 504 channels spanning wavelengths from 400 nm to 993 nm. Featuring a 36.3° field of view (FOV), it achieves a spatial resolution below 1 meter for targets positioned 1 kilometer away. Throughout HALO-(AC)³, it operated at a frame rate of 20 Hz.
DOI: 10.1594/pangaea.971531
title: Radiographs of the gravity core HE443/10-3 from North Sea

description: Radiographs of gravity core HE443/10-3 that was collected in the Helgoland mud area. The radiographs were produced about 8 months after coring and sampling. The white spots derive from previous sediment sampling that was performed onboard through windows that were cut into the core liner. The core shows intervals with intact sedimentary structures, but also intervals that are strongly mixed by bioturbation.
DOI: 10.1594/pangaea.974108
title: Unified Airborne Active and Passive Microwave Measurements over Arctic Sea Ice and Ocean during the HALO-(AC)³ Campaign in Spring 2022 (v2.7)

description: The Halo Microwave Package (HAMP), deployed onboard the High Altitude and LOng range research aircraft (HALO), performed measurements over the Arctic ocean and sea-ice during the HALO-(AC)³ campaign in March and April 2022. After the transfer flight (RF01) from Oberpfaffenhofen (Germany), 17 research flight (RF) days started from Kiruna, Sweden and heading northwards to the Fram Strait and central Arctic. Here, HAMP measurements were taken in different weather conditions comprising high impact synoptic events such as warm air intrusions, atmospheric rivers, cold air outbreaks or polar lows. We provide a dataset of active and passive microwave HAMP measurements, i.e. from the cloud and precipitation radar and the radiometers respectively. The radar operates at a frequency of 35 GHz while the microwave radiometer measurements comprise 25 channels in the frequency range between 22 and 190 GHz. Our dataset delivers time-series of brightness temperatures from the radiometers, and the radar reflectivity factor and linear depolarization ratio from the radar in a unified format. The unified and processed dataset provides the post-calibrated and quality-controlled measurements from both devices in a collocated temporal 1 Hz resolution applicable for joint analysis. An adherent surface mask distinguishes between three predominant overpassed surface types (land, sea, and sea-ice). The radar measurements are further unified in a vertical grid having 30 m resolution. Our unified dataset allows for wide-spread analysis of evolving arctic cloud and moisture properties over the remote Arctic ocean.
DOI: 10.17632/5rzjzx9mfn.1
title: Matlab code to address iodine chemistry discussed in the manuscript (2024JD042568) submitted to JGR: Atmospheres in 2024

description: This dataset includes some of the matlab code used in the manuscript "Chlorine activation in marine air: Insights from chemical budgets of molecular chlorine and hypochlorous acid". This manuscript was submitted to JGR:A in 2024 by Men Xia et al.

This code was used to address iodine chemistry in the F0AM model. Reference for this code: Alfonso Saiz-Lopez et al., 2014, ACP. This code should be cited in "ChemFiles" when running the F0AM box model.

The default F0AM box model is available elsewhere: https://github.com/AirChem/F0AM.
DOI: 10.17909/hp6p-0735
title: SN2024abfl progenitor pre explosion HST image dataset
DOI: 10.18112/openneuro.ds005875.v1.0.2
title: China’s Social Fake News database release with brain structural, functional, and behavioural measures
DOI: 10.18750/massbalance.2023.r2023
title: Swiss Glacier Mass Balance (release 2023)

description: Direct measurements of glacier mass balance - the sum of snow accumulation and snow/ice melt - are carried out on selected glaciers in Switzerland. Based on point observations, typically acquired in April/May and September, glacier-wide quantities of seasonal mass balance (winter/summer/annual) are evaluated, expressed as a an area-averaged value of water eqivalent. The dataset contains all available observations up to present and is delivered as four separate .csv files with results both for the exact measurement periods (observation, varying between the years) and the hydrological year (fixdate), as well as for glacier-wide quantities and for individual elevation bins.
DOI: 10.5066/p9cnc1be
title: Winter 2023 Arcata to Eureka, California, Deployment of Nodal Seismometers

description: These data are from a 3-month long deployment of nodal seismometers that ran from December 22th, 2022 until March 1st, 2023 as part of a Distributed Acoustic Sensing (DAS) experiment above the Gorda plate. The deployment was done in response to the 2022/12/20 M6.4 Ferndale earthquake. The sensors were deployed at 46 locations along Old Arcata Rd between Arcata and Eureka California (Figure 1); these locations track the approximate location of the fiber optic cable used as part of the DAS experiment. The instruments have a battery recording life of approximately one month and were swapped out in the same locations in Mid-to-late January, and late February-Early march. Exceptions are that only 29 were deployed for the first month and 3 extra stations were deployed along Samoa blvd in Arcata in the third month. Thus, there are 122 instruments that were deployed at 49 distinct locations.
DOI: 10.5066/p9gbga4i
title: Map data from landslides triggered by Hurricane Maria in a section of Naranjito, Puerto Rico

description: Hurricane Maria caused widespread landsliding throughout Puerto Rico during September 2017. Previous detailed landslide inventories following the hurricane include Bessette-Kirton et al. (2017, 2019). Here we continue that work with an in-depth look at a portion of northwest Naranjito, which is a municipality in the northeastern part of the main island. To study a characteristic sample of landslides in Naranjito, we mapped all visible individual landslides in an approximately triangular area 2.3 km wide by 1.9 km long. The boundary of our mapping was defined by previous studies (Bessette-Kirton et al., 2019). We used aerial imagery collected between 9-15 October 2017 (Quantum Spatial, Inc., 2017) to map landslide source and runout areas, and 1-m-resolution pre-event and post-event lidar (U.S. Geological Survey, 2018, 2020) as a digital base map for mapping. Difficulties with using these tools arose when aerial imagery was not correctly georeferenced to the lidar, when cloud cover was present in all images of an area, and in interpreting failure modes using only two-dimensional aerial photos. These difficulties with aerial imagery were partially resolved using the lidar. The map data comprises headscarp points, travel distance lines, source area polygons, and affected area polygons that are provided as point, line, and polygon shapefiles that may be viewed using common geographic information systems. Various characteristics of the landslides and their geomorphic settings are included in attribute tables of the mapped features, and this information is described in the "Attribute Summary" document in the accompanying files. Quantitative attributes (e.g., failure travel distance, failure fall height, watershed contributing area, etc.) were determined using tools available with the ESRI ArcMap v. 10.6.1 geographic information system. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. References Bessette-Kirton, E.K., Cerovski-Darrian, C., Schulz, W.H., Coe, J.A., Kean, J.W., Godt, J.W., Thomas, M.A. and Hughes, K.S., 2019, Landslides triggered by Hurricane Maria: Assessment of an extreme event in Puerto Rico: GSA Today, v. 29, no. 6. Bessette-Kirton, E.K., Coe, J.A., Godt, J.W., Kean, J.W., Rengers, F.K., Schulz, W.H., Baum, R.L., Jones, E.S., and Staley, D.M., 2017, Map data showing concentration of landslides caused by Hurricane Maria in Puerto Rico: U.S. Geological Survey data release, https://doi.org/10.5066/F7JD4VRF. Quantum Spatial, Inc., 2017 FEMA PR Imagery: https://s3amazonaws.com/fema-cap-imagery/Others/Maria (accessed October 2017). U.S. Geological Survey, 2018, USGS NED Original Product Resolution PR Puerto Rico 2015: http://nationalmap.gov/elevation.html (accessed October 2018). U.S. Geological Survey, 2020, USGS NED Original Product Resolution PR Puerto Rico 2015: http://nationalmap.gov/elevation.html (accessed October 2018).
DOI: 10.5066/p9nyat5z
title: Spring 2022 Arcata to Eureka California, Distributed Acoustic Sensing (DAS) experiment

description: These data are from a 2-month long Distributed Acoustic Sensing (DAS) Experiment in Arcata, CA, that was conducted jointly by the U.S. Geological Survey, Cal Poly Humboldt University, and OptaSense Inc. An OptaSense QuantX DAS interrogator was installed in the Arcata Police Station and connected to a fiber owned by Vero Communications that runs from Arcata to Eureka
DOI: 10.5066/p9ow4slx
title: Map data from landslides triggered by Hurricane Maria in four study areas of Puerto Rico

description: In September 2017, Hurricane Maria caused widespread landsliding throughout mountainous regions of Puerto Rico. Nearly all landslides mobilized as debris flows (Bessette-Kirton et al., 2019), but herein, we simply use the term "landslides" when describing all types of slope failures that occurred during Hurricane Maria. To examine the extent and physical characteristics of landslides in severely impacted areas (defined as having high landslide density (&gt;25 landslides/km2) by Bessette-Kirton et al., 2017, 2019), we mapped individual landslides at scales between 1:600 and 1:1,000 in four 2.5 km2 study areas in the Mayaguez/Anasco/Las Marias (LAM1), Las Marias/Lares (LAM2), Naranjito (NAR), and Utuado (UTU) municipalities. We used aerial imagery collected between 9-15 October 2017 (Quantum Spatial, Inc., 2017) to map landslide source and runout areas. In addition to imagery, we used 1 m-resolution pre-event LiDAR (U.S. Geological Survey, 2018) as a digital base map for our mapping. The map data consist of landslide polygons, headscarp points, and travel distance lines. Each landslide polygon includes the total affected area (LSArea) and the number of mapped headscarp points (HeadscarpPoints). Each headscarp point contains attributes for the elevation measured at the distal end of the associated travel distance line (MinElev), the elevation at the headscarp point (MaxElev), slope at the headscarp point (Slope), aspect at the headscarp point (Aspect), the length of the associated maximum travel distance line (MaxTravelDist), and the ratio of total fall height (H: MaxElev-MinElev) to maximum travel distance (L: MaxTravelDist). Each travel distance line includes the length of the line (MaxTravelDist). Areas containing a combination of landslide and flood deposits were mapped as landslide/flood deposits (LSFlood). The data also include study area boundaries (AOIs). The data are provided as ArcGIS point, line, and polygon feature class files, all of which are contained within a file geodatabase (PRMariaLandslides.gdb). References: Bessette-Kirton, E.K., Cerovski-Darriau, C., Schulz, W.H., Coe, J.A., Kean, J.W., Godt, J.W, Thomas, M.A., and Hughes, K. Stephen, 2019, Landslides Triggered by Hurricane Maria: Assessment of an Extreme Event in Puerto Rico: GSA Today, v. 29, doi:10.1130/GSATG383A.1 Bessette-Kirton, E.K., Coe, J.A., Godt, J.W., Kean, J.W., Rengers, F.K., Schulz, W.H., Baum, R.L., Jones, E.S., and Staley, D.M., 2017, Map data showing concentration of landslides caused by Hurricane Maria in Puerto Rico: U.S. Geological Survey data release, https://doi.org/10.5066/F7JD4VRF. Quantum Spatial, Inc., 2017, FEMA PR Imagery: https://s3.amazonaws.com/fema-cap-imagery/Others/Maria (accessed October 2017). U.S. Geological Survey, 2018, USGS NED Original Product Resolution PR Puerto Rico 2015: http://nationalmap.gov/elevation.html (accessed October 2018).
DOI: 10.5066/p9xlmdol
title: Spring 2022 Arcata to Eureka, California, Distributed Acoustic Sensing (DAS) experiment: Nodal Seismometer data

description: These data are from a 3-month long deployment of nodal seismometers that ran from May 18th, 2022 until September 1st, 2022 as part of a Distributed Acoustic Sensing (DAS) experiment above the Gorda plate (McGuire, et al., 2022). The sensors were deployed at 44 locations along Old Arcata Rd between Arcata and Eureka California (Figure 1); these locations track the approximate location of the fiber optic cable used as part of the DAS experiment. The instruments have a battery recording life of approximately one month and were swapped out in the same locations in Mid-June, and Mid-July. Thus, there are 132 instruments that were deployed at 44 distinct locations.
DOI: 10.5281/zenodo.13622727
title: Post-processed SAM (System for Atmospheric Modeling) simulation output for "Tipping to an Aggregated State by Mesoscale Convective Systems"

description: Statistics output files for all variables, for a select number of SAM (System for Atmospheric Modeling v. 6.11) simulation runs used in the study  "Tipping to an Aggregated State by Mesoscale Convective Systems". The following simulations are included: DIU, OCEAN, DIU2OCEAN branch A1, DIU2OCEAN branch A2.
DOI: 10.5281/zenodo.14188864
title: Data for "First simulations of feedback algorithm-regulated marine cloud brightening"

description: Data for the manuscript "First simulations of feedback algorithm-regulated marine cloud brightening," submitted for publication in the journal Geophysical Research Letters.
DOI: 10.5281/zenodo.14827843
title: Dataset for magnetic soft robots and materials

description: (1) Dataset for magnetic soft robots and materials


This dataset is a result of the "Data-driven design of shape-programmable magnetic soft materials" paper.



Karacakol, A.C., Alapan, Y., Demir, S.O., Sitti M. Data-driven design of shape-programmable magnetic soft materials. Nat Commun 16, 2946 (2025). https://doi.org/10.1038/s41467-025-58091-z


It involves a raw dataset of 53 learning runs (resulting in ~1.5e7 simulation evaluations) conducted for the demonstrations and algorithm benchmarking cases. Each data provides the position information of the robot in cartesian coordinates along its body at the final steady-state shape for a given design and actuation signal. The dataset is shared to enable further research in stimuli-responsive soft robotics and soft materials fields.

(2) Github link for the project

Public code repository for the "Data-driven design of shape-programmable magnetic soft materials" paper could be found in;



https://github.com/AlpKaracakol/data_driven_magnetic_soft_material_design
DOI: 10.5281/zenodo.14955842
title: Impacts of Pandemic-Associated Plastic Waste on Microplastics in Ambient PM2.5
DOI: 10.5281/zenodo.15001746
title: Unlocking the Secrets of Scenic Beauty: A Quantitative Analysis of Object Variety and Connections in Scenic Images

description: Description of the data and file structure

This repository contains the code and data for the paper "Understanding the Impact of Object Diversity and Connectivity on Scenic Appeal: A Quantitative Analysis," published in the Journal of the Royal Society Interface.

Code:



The codebase developed in this study includes scripts for data downloading, processing, and implementing two linear mixed-effects (LME) regression models for data analysis.


Dataset:



Scenicness scores for the Geograph photographs were obtained from the Scenic-Or-Not project, including three randomly selected batches of subsets.

Three batches of photograph IDs, each containing 10,000 randomly selected records from the Scenic-Or-Not dataset, are available for download from the Geograph website.
DOI: 10.5281/zenodo.15003366
title: Second Coordination Sphere Regulates Nanozyme Inhibition to Assist Early Drug Discovery

description: Full Changelog: https://github.com/L0J1/SVM_CuNC_Drug/commits/SVM_CuNC_Drug_v2.0.1
DOI: 10.5281/zenodo.4289456
title: Age-related humerothoracic, scapulothoracic, and glenohumeral kinematics during elevation and rotation motions

description: Age affects gross shoulder range of motion (ROM), but biomechanical changes over a lifetime are typically only characterized for the humerothoracic joint. Suitable age-related baselines for the scapulothoracic and glenohumeral contributions to humerothoracic motion are needed to advance understanding of shoulder injuries and pathology. Notably, biomechanical comparisons between younger or older populations may obscure detected differences in underlying shoulder motion. Kinematics derived from healthy subjects aged &lt;35 years and &gt;45 years using biplane fluoroscopy and skin-marker motion analysis quantified humerothoracic, scapulothoracic, and glenohumeral motion during 3 static poses (resting neutral, internal rotation to L4-L5, and internal rotation to maximum reach) and 2 dynamic activities (scapular plane abduction and external rotation in adduction). These data are available for download to aid researchers and clinicians in characterizing non-pathologic shoulder motion during common clinical ROM activities.
DOI: 10.5439/1566156
title: mwrret2turn.c1

description: This is a newer version of the microwave retrieval vap to run against mwr3c data.
DOI: 10.6084/m9.figshare.22261939
title: Supplementary Material for: Characteristics and Outcomes of Elderly Hepatocellular Carcinoma Patients following Surgical Resection: Systematic Review and Meta-analysis

description: Background & Aims: Due to ageing of the global population, hepatocellular carcinoma (HCC) is increasingly common among elderly patients, but outcomes after curative hepatic resection are unclear. Using a metanalytic approach, we aimed to estimate overall survival (OS), recurrence free survival (RFS) and complication rates in elderly HCC patients undergoing resection. Methods: We searched PubMed, Embase, and Cochrane databases from inception to Nov 10, 2020 for studies reporting outcomes in elderly (age ≥ 65 years) patients with HCC undergoing curative surgical resection. Pooled estimates were generated using a random-effects model. Results: We screened 8,598 articles and included 42 studies (7,778 elderly patients). The mean age was 74.45 years (95% CI 72.89-76.02), 75.54% were male (95% CI 72.53-78.32) and 66.73% had cirrhosis (95% CI 43.93-83.96). The mean tumor size was 5.50 cm (95% CI 4.71-6.29) and 16.01% had multiple tumors (95% CI 10.74-23.19). The 1-year (86.02% versus 86.66%, p=0.84) and 5-year OS (51.60% versus 53.78%) between non-elderly versus elderly patients were similar. Likewise, there were no differences in the 1-year (67.32% versus 73.26%, p=0.11) and 5-year RFS (31.57% versus 30.25%, p=0.67) in non-elderly versus elderly patients. There was a higher rate of minor complications (21.95% versus 13.71%, p=0.03) among elderly patients compared with non-elderly patients, but no difference in major complications (p=0.43) Conclusion: This data shows that overall survival, recurrence and major complications after liver resection for HCC are comparable between elderly and non-elderly patients, and may inform clinical management of HCC in this population.
DOI: 10.6084/m9.figshare.27021865
title: Genome assembly resources of genitourinary cancers for chromosomal aberration at the single nucleotide level

description: We obtained PacBio HiFi long-read sequencing data of six genitourinary tumor cell lines, and assembled these reads into contigs to understand cancer genomes in detail.
DOI: 10.6084/m9.figshare.28270367
title: Project AI NNSs

description: This set describes a project entitled NNSs & CG