cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17897/kdsv-gh23
title: GlacioBasis Zackenberg - Near surface weather - AWS-Zack-M

description: Near surface weather at station Zack-M Near surface weather:Near surface weather GlacioBasis Zackenberg:Since 2008, the GlacioBasis programme has been monitoring the glacier surface mass balance at the A.P. Olsen Ice Cap and its response to climate forcing. Greenland’s glaciers and Ice Caps are losing mass at a rate more than double of the Ice Sheet when adjusted for size, accounting for 14-20 % of the total sea level rise contribution from Greenland. As the glaciological component of a core WMO GCW CryoNet site and a contributor to the GTN-G through WGMS, the GlacioBasis datasets complement the ongoing monitoring based at Zackenberg, enable process-based understanding of physical processes driven by glacier melt water run-off in the downstream terrestrial and marine ecosystems, and can inform regional and global assessments under AMAP and IPCC. GlacioBasis operates the year-round automatic monitoring of A.P. Olsen Ice Cap near-surface weather at three stations, a network of ablation stakes covering the entire altitude range, and geophysical survey campaigns on the ground (radar snow depth) and airborne (surface elevation from lidar, ice thickness from radar). GlacioBasis data collection is adaptively updated to support research in processes emerging as key sources of nonlinearity in the cryosphere, including melt water retention and albedo feedbacks. As a representative Northeast Greenland Ice Cap, A.P. Olsen observations delivered by GlacioBasis are available to the national and international remote sensing and climate modelling communities for calibration, validation and upscaling purposes.
DOI: 10.17897/nvj0-v931
title: GlacioBasis Zackenberg - Near surface weather - AWS-Zack-S

description: Near surface weather at station Zack-S Near surface weather:Near surface weather GlacioBasis Zackenberg:Since 2008, the GlacioBasis programme has been monitoring the glacier surface mass balance at the A.P. Olsen Ice Cap and its response to climate forcing. Greenland’s glaciers and Ice Caps are losing mass at a rate more than double of the Ice Sheet when adjusted for size, accounting for 14-20 % of the total sea level rise contribution from Greenland. As the glaciological component of a core WMO GCW CryoNet site and a contributor to the GTN-G through WGMS, the GlacioBasis datasets complement the ongoing monitoring based at Zackenberg, enable process-based understanding of physical processes driven by glacier melt water run-off in the downstream terrestrial and marine ecosystems, and can inform regional and global assessments under AMAP and IPCC. GlacioBasis operates the year-round automatic monitoring of A.P. Olsen Ice Cap near-surface weather at three stations, a network of ablation stakes covering the entire altitude range, and geophysical survey campaigns on the ground (radar snow depth) and airborne (surface elevation from lidar, ice thickness from radar). GlacioBasis data collection is adaptively updated to support research in processes emerging as key sources of nonlinearity in the cryosphere, including melt water retention and albedo feedbacks. As a representative Northeast Greenland Ice Cap, A.P. Olsen observations delivered by GlacioBasis are available to the national and international remote sensing and climate modelling communities for calibration, validation and upscaling purposes.
DOI: 10.17897/3md2-pz63
title: GlacioBasis Zackenberg - Near surface weather - AWS-Zack-T

description: Near surface weather at station Zack-T Near surface weather:Near surface weather GlacioBasis Zackenberg:Since 2008, the GlacioBasis programme has been monitoring the glacier surface mass balance at the A.P. Olsen Ice Cap and its response to climate forcing. Greenland’s glaciers and Ice Caps are losing mass at a rate more than double of the Ice Sheet when adjusted for size, accounting for 14-20 % of the total sea level rise contribution from Greenland. As the glaciological component of a core WMO GCW CryoNet site and a contributor to the GTN-G through WGMS, the GlacioBasis datasets complement the ongoing monitoring based at Zackenberg, enable process-based understanding of physical processes driven by glacier melt water run-off in the downstream terrestrial and marine ecosystems, and can inform regional and global assessments under AMAP and IPCC. GlacioBasis operates the year-round automatic monitoring of A.P. Olsen Ice Cap near-surface weather at three stations, a network of ablation stakes covering the entire altitude range, and geophysical survey campaigns on the ground (radar snow depth) and airborne (surface elevation from lidar, ice thickness from radar). GlacioBasis data collection is adaptively updated to support research in processes emerging as key sources of nonlinearity in the cryosphere, including melt water retention and albedo feedbacks. As a representative Northeast Greenland Ice Cap, A.P. Olsen observations delivered by GlacioBasis are available to the national and international remote sensing and climate modelling communities for calibration, validation and upscaling purposes.
DOI: 10.17897/e594-nv64
title: GlacioBasis Zackenberg - Snow cover - Snow depth radar

description: Index to interpreted snow radar data Snow cover:Snow cover GlacioBasis Zackenberg:Since 2008, the GlacioBasis programme has been monitoring the glacier surface mass balance at the A.P. Olsen Ice Cap and its response to climate forcing. Greenland’s glaciers and Ice Caps are losing mass at a rate more than double of the Ice Sheet when adjusted for size, accounting for 14-20 % of the total sea level rise contribution from Greenland. As the glaciological component of a core WMO GCW CryoNet site and a contributor to the GTN-G through WGMS, the GlacioBasis datasets complement the ongoing monitoring based at Zackenberg, enable process-based understanding of physical processes driven by glacier melt water run-off in the downstream terrestrial and marine ecosystems, and can inform regional and global assessments under AMAP and IPCC. GlacioBasis operates the year-round automatic monitoring of A.P. Olsen Ice Cap near-surface weather at three stations, a network of ablation stakes covering the entire altitude range, and geophysical survey campaigns on the ground (radar snow depth) and airborne (surface elevation from lidar, ice thickness from radar). GlacioBasis data collection is adaptively updated to support research in processes emerging as key sources of nonlinearity in the cryosphere, including melt water retention and albedo feedbacks. As a representative Northeast Greenland Ice Cap, A.P. Olsen observations delivered by GlacioBasis are available to the national and international remote sensing and climate modelling communities for calibration, validation and upscaling purposes.
DOI: 10.17897/8gmn-wj32
title: GlacioBasis Zackenberg - Snow cover - Snow sonic ranger height

description: Snow height observations at Zack-M, -S and -T Snow cover:Snow cover GlacioBasis Zackenberg:Since 2008, the GlacioBasis programme has been monitoring the glacier surface mass balance at the A.P. Olsen Ice Cap and its response to climate forcing. Greenland’s glaciers and Ice Caps are losing mass at a rate more than double of the Ice Sheet when adjusted for size, accounting for 14-20 % of the total sea level rise contribution from Greenland. As the glaciological component of a core WMO GCW CryoNet site and a contributor to the GTN-G through WGMS, the GlacioBasis datasets complement the ongoing monitoring based at Zackenberg, enable process-based understanding of physical processes driven by glacier melt water run-off in the downstream terrestrial and marine ecosystems, and can inform regional and global assessments under AMAP and IPCC. GlacioBasis operates the year-round automatic monitoring of A.P. Olsen Ice Cap near-surface weather at three stations, a network of ablation stakes covering the entire altitude range, and geophysical survey campaigns on the ground (radar snow depth) and airborne (surface elevation from lidar, ice thickness from radar). GlacioBasis data collection is adaptively updated to support research in processes emerging as key sources of nonlinearity in the cryosphere, including melt water retention and albedo feedbacks. As a representative Northeast Greenland Ice Cap, A.P. Olsen observations delivered by GlacioBasis are available to the national and international remote sensing and climate modelling communities for calibration, validation and upscaling purposes.
DOI: 10.21343/5vhg-a209
title: Geophone and Hydrophone deployments in Svalbard for 2022
DOI: 10.5281/zenodo.8063118
title: Covid_19 Misinformation Detection Dataset

description: This data contains tweets collected from fact-checking websites and reliable organizations with expertise relating to covid_19. It is useful for spotting misinformation among facts.
DOI: 10.5281/zenodo.8063117
title: Covid_19 Misinformation Detection Dataset

description: This data contains tweets collected from fact-checking websites and reliable organizations with expertise relating to covid_19. It is useful for spotting misinformation among facts.
DOI: 10.5281/zenodo.7263490
title: LogBART dataset

description: Anomaly Detection Dataset
DOI: 10.5281/zenodo.7263491
title: LogBART dataset

description: Anomaly Detection Dataset
DOI: 10.5281/zenodo.8063513
title: LogBART dataset

description: Anomaly Detection Dataset
DOI: 10.5281/zenodo.8055266
title: qnp_data

description: Dataset to comply with availability guidelines of primary data of the University of Cologne
DOI: 10.5281/zenodo.8055265
title: qnp_data

description: Dataset to comply with availability guidelines of primary data of the University of Cologne
DOI: 10.6084/m9.figshare.23260886
title: Data

description: Flow cytometry data
DOI: 10.6084/m9.figshare.23260886.v1
title: Data

description: Flow cytometry data
DOI: 10.6084/m9.figshare.23260886.v2
title: Data

description: Flow cytometry data
DOI: 10.5281/zenodo.8060452
title: Graph database of the urban road network of Modena

description: The file contains a dump of the neo4j instance of the road network of the city of Modena. The database contains both the primal graph and the dual graph and integrates traffic volume data and Points Of Interest (POI). The database is generated from Open Street Map data exploiting the code in this git repository. The git repository shows how to employ the graph database for analysis, routing, and the simulation of road closure scenarios.
description: The file 'RoadNetwork.dump' is a dump file of neo4j that can be loaded in a neo4j database with the command: neo4j-admin load --from=\RoadNetwork.dump --database=neo4j --force The file 'roadNetwork.graphml' is a graphml file that can be imported in different graph databases. The
DOI: 10.5281/zenodo.8060451
title: Graph database of the urban road network of Modena

description: The file contains a dump of the neo4j instance of the road network of the city of Modena. The database contains both the primal graph and the dual graph and integrates traffic volume data and Points Of Interest (POI). The database is generated from Open Street Map data exploiting the code in this git repository. The git repository shows how to employ the graph database for analysis, routing, and the simulation of road closure scenarios.
description: The file 'RoadNetwork.dump' is a dump file of neo4j that can be loaded in a neo4j database with the command: neo4j-admin load --from=\RoadNetwork.dump --database=neo4j --force The file 'roadNetwork.graphml' is a graphml file that can be imported in different graph databases. The
DOI: 10.34740/kaggle/dsv/5986937
title: Spatiotemporal Wildlife Dataset
DOI: 10.58038/ujcm.210623
title: Dane badawcze z realizacji projektu pt. "Ocena in vitro aktywności przeciwgrzybiczej bromaminy T"
title: Research data from the project "In vitro evaluation of the antifungal activity of bromamine T"
DOI: 10.5281/zenodo.8063545
title: Supplementary materials for: Multiple ruptures on the North Sofia fault at Gorni Bogrov from scarp profile and shallow geophysics

description: The data set contains resistivity data of two profiles that were measured at Gorno Bogrov site in the Sofia basin in Bulgaria. The resistivity survey was performed to study the North Sofia fault. The resistivity data in files r1ohm.tx and r2ohm.txt should be inverted using the BERT software (http://resistivity.net/) with configuration files r1cfg.txt and r2icfg.txt, respectively. The file bog2.txt contains fault coordinates for constraining the inversion mesh of the shorter profile (files r2ohm.txt, r2icfg.txt). The data set was collected within the project Assessment of Earthquake Ground Motion Amplification in the Sofia Basin (http://sofiabasin.atwebpages.com/), funded by the Bulgarian National Science Fund, contract number KP-06-N64/1 from 15.12.2022.
DOI: 10.5281/zenodo.8063544
title: Supplementary materials for: Multiple ruptures on the North Sofia fault at Gorni Bogrov from scarp profile and shallow geophysics

description: The data set contains resistivity data of two profiles that were measured at Gorno Bogrov site in the Sofia basin in Bulgaria. The resistivity survey was performed to study the North Sofia fault. The resistivity data in files r1ohm.tx and r2ohm.txt should be inverted using the BERT software (http://resistivity.net/) with configuration files r1cfg.txt and r2icfg.txt, respectively. The file bog2.txt contains fault coordinates for constraining the inversion mesh of the shorter profile (files r2ohm.txt, r2icfg.txt). The data set was collected within the project Assessment of Earthquake Ground Motion Amplification in the Sofia Basin (http://sofiabasin.atwebpages.com/), funded by the Bulgarian National Science Fund, contract number KP-06-N64/1 from 15.12.2022.
DOI: 10.25502/wxmc-qr92/d
title: Phenotypic data generated from Extra-Early QPM inbred lines evaluation under Low soil nitrogen and drought stress 

description: Phenotypic data generated from Extra-Early QPM inbred lines evaluation under Low soil nitrogen and drought stress. Optimal and stress (low soil nitrogen and drought) datasets_Mokwa and Ile-Ife for low-N_2012, Baguada and Ikenne for drought_2012, Mokwa for Optimal_2012
DOI: 10.5281/zenodo.8063549
title: DNA sequencing

description: DNA seuening
DOI: 10.5281/zenodo.8063548
title: DNA sequencing

description: DNA seuening
DOI: 10.6084/m9.figshare.23261090.v2
title: Data

description: Flow cytometry data
DOI: 10.6084/m9.figshare.23057774
title: Analysis

description: A summary of all flow cytometry results, scatter plots and applied gates
DOI: 10.6084/m9.figshare.23260496
title: Calibration

description: Calibration of the flow rate, fluorescence, and light scattering intensity
DOI: 10.6084/m9.figshare.23261090
title: Data

description: Flow cytometry data
DOI: 10.6084/m9.figshare.23261090.v1
title: Data

description: Flow cytometry data
DOI: 10.5281/zenodo.8063595
title: scRNAseq data

description: scRNAseq data from White et al.
DOI: 10.5281/zenodo.8063594
title: scRNAseq data

description: scRNAseq data from White et al.
DOI: 10.5517/ccdc.csd.cc2d23yk
title: CCDC 2206578: Experimental Crystal Structure Determination

description: Related Article: Pei Li, Hongju Liu, Wanlu Tian, Zhanshan Ma, Xiaoyue Wang, Guoyong Xu, Chao Li, Muhammad Qasim, Fuzhou Wang|2023|Polymer|280|126060|doi:10.1016/j.polymer.2023.126060
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dzn13
title: CCDC 2233985: Experimental Crystal Structure Determination

description: Related Article: Zesi Wang, Jiao Li, Jiao Chen, Zifeng Cao, Hui Li, Yaopeng Cao, Quanquan Li, Mengyao She, Ping Liu, Shengyong Zhang, Jianli Li|2023|Chin.Chem.Lett.|34|108507|doi:10.1016/j.cclet.2023.108507
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.23545848
title: Influence of density and viscosity on deformation, breakage, and coalescence of bubbles in turbulence

description: Data to reproduce Figure 2 reported in the article "Influence of density and viscosity on deformation, breakage, and coalescence of bubbles in turbulence", Phys. Rev. Fluids 7, 053601.
DOI: 10.6084/m9.figshare.23545848.v3
title: Influence of density and viscosity on deformation, breakage, and coalescence of bubbles in turbulence

description: Data to reproduce Figure 2 reported in the article "Influence of density and viscosity on deformation, breakage, and coalescence of bubbles in turbulence", Phys. Rev. Fluids 7, 053601.
DOI: 10.6084/m9.figshare.23552226
title: Effect of surfactant-laden droplets on turbulent flow topology

description: Data to reproduce figure 4 and figure 5.
DOI: 10.6084/m9.figshare.23552226.v1
title: Effect of surfactant-laden droplets on turbulent flow topology

description: Data to reproduce figure 4 and figure 5.
DOI: 10.6084/m9.figshare.23552226.v2
title: Effect of surfactant-laden droplets on turbulent flow topology

description: Data to reproduce figure 4 and figure 5.
DOI: 10.6084/m9.figshare.22786229
title: A mixed methods approach for measuring topic sensitivity in conservation

description: 1. Conservationists increasingly aim to understand human behaviour to inform intervention design. However, obtaining information from people about their behaviour can be challenging, particularly if the research topic is considered sensitive. Topic sensitivity may raise methodological, ethical, political and legal concerns which, if poorly addressed, can have significant impacts on research participants, the research process, data quality and the success of conservation outcomes that are informed by research findings. While considerable effort has been invested in developing techniques for reducing bias when collecting data on sensitive topics, less attention has been focused on identifying if, and why, a topic is sensitive. <br> 2. We use a mixed methods approach to explore how willing people are to discuss topics that could be considered sensitive (e.g., illegal wildlife hunting). Collecting data from people living near protected areas in Indonesia (n=362) and Tanzania (n=345), we developed and tested a psychometric scale to measure topic sensitivity at the respondent level and conducted group exercises (free-listing and pile sorts) to gain a deeper understanding of peoples’ willingness to discuss different topics. <br> 3. The perceived sensitivity of topics varied both within and between the two focal contexts, with more topics being perceived as sensitive in Tanzania than Indonesia. Participants’ knowledge of rules, and their experiences of living alongside protected areas affected how sensitive they considered topics to be. <br> 4. Mixed methods approaches can provide holistic and nuanced understanding of topic sensitivity. However, recognising that in-depth studies are not always feasible to implement, we demonstrate that methods, such as our Sensitivity Index, can easily be adapted for different contexts and deployed to rapidly obtain valuable insights on topic sensitivity, to help inform conservation research and practice. <br> Here we include an anonymised dataset for the Sensitivity Index, along with the translated survey instruments used in Indonesia and Tanzania. These are presented as XLS forms, which can be uploaded into ODK or KoBoToolbox and then administered online or via mobile devices.
DOI: 10.5281/zenodo.5878992
title: Analysis of effects from contour farming and soil tillage on soil erosion processes in tramlines.

description: R-Codes for calculating contouring efficency (cef) based on digitized tramline data
DOI: 10.5281/zenodo.5878991
title: Analysis of effects from contour farming and soil tillage on soil erosion processes in tramlines.

description: R-Codes for calculating contouring efficency (cef) based on digitized tramline data
DOI: 10.6084/m9.figshare.22634719.v5
title: <strong>Pre-aged terrigenous organic carbon</strong> <strong>biases ocean ventilation-age reconstructions in the North Atlantic </strong>

description: Supplementary Dataset S1 to S5 for “ <strong>Pre-aged terrigenous organic carbon</strong> <strong>biases ocean ventilation-age reconstructions</strong> <strong>in the North Atlantic</strong> ”
DOI: 10.6084/m9.figshare.22634719.v4
title: Supplementary Dataset S1 to S5

description: Supplementary Dataset S1 to S5 for “ <strong>Pre-aged terrigenous organic carbon</strong> <strong>biases ocean ventilation-age reconstructions</strong> <strong>in the North Atlantic</strong> ”
DOI: 10.6084/m9.figshare.22665025.v1
title: Supplementary Material for: CircARF3 mitigates allergic rhinitis through targeting microRNA-205-5p/sirtuin 5 axis

description: Background: Circular RNAs (circRNAs) are essential in the progression of allergic rhinitis (AR). The purpose of this research is to examine the role of circRNA ADP-ribosylation factor 3 (circARF3) in the pathogenesis of AR. Methods: To generate an animal model of AR, mice were treated with house dust mite (HDM), and mice nasal epithelial cells (NEpCs) were treated with IL-4/IL-13 to imitate the inflammatory damage of AR in vitro. Sanger sequencing, qRT-PCR, and RNAse R digestion assays all validated the circularization structure of circARF3. The levels of CircARF3, miR-205-5p, and sirtuin 5 (SIRT5) were determined by qRT-PCR or western blotting. Luciferase reporter, RNA immunoprecipitation, and pull-down experiments were used to investigate the regulatory network. Flow cytometry was used to investigate the rate of cell apoptosis, and western blotting was used to determine the levels of apoptotic-related proteins (cleaved caspase 3, cleaved Polyadenosine-diphosphate-ribose polymerase) and HMGB1, TLR4, and MyD88. Enzyme-linked immunosorbent assay was used to assess the inflammatory response. Hematoxylin-eosin staining and TUNEL were used to detect the histology of injury and apoptosis of nasal mucosa tissues. Results: CircARF3 and SIRT5 levels were reduced in HDM-treated animals and IL-4/IL-13-treated NEpCs, while miR-205-5p expression was increased. CircARF3 was generated by back-splicing exons 3–5 with a stable circular shape. CircARF3 overexpression mitigated IL-4/IL-13-induced apoptosis in NEpCs by inhibiting miR-205-5p. SIRT5 upregulation attenuated IL-4/IL-13-induced inflammatory injury in NEpCs, and SIRT5 knockdown induced opposite effects. miR-205-5p silencing reversed the effects of SIRT5 knockdown on IL-4/IL-13-induced inflammatory injury. Furthermore, circARF3 overexpression alleviated histological abnormalities, apoptosis, inflammatory response, and HMGB1/TLR4 signaling activation in HDM-treated animals. Conclusion: CircARF3 inhibited cell apoptosis and inflammation via the miR-205-5p/SIRT5 axis in IL-4/IL-13-treated NEpCs and HDM-treated mice.