cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10869007
title: Unveiling Therapeutic Targets and Immunological Insights in Glioblastoma Through Analysis of Glioma-Associated Mesenchymal Stem Cells
title: Additional file 4: Table S4. Results of drug sensitive analysis of the FLNC gene.

description: To analyze the binding affinities and interaction modes between the drug candidates and their targets, we employed the Autodock Vina software [21]. Molecular structures of the candidate drugs and targets of hub genes were retrieved from Pubchem (https://pubchem.ncbi.nlm.nih.gov/) and Protein Data Bank database (http://www.rcsb.org/), respectively. In the analysis of docking, the files for all proteins and molecules were converted to PDBQT format. Water molecules were removed and polar hydrogen atoms were added. The grid box was positioned at the center to encompass the protein domain, allowing for unrestricted movement of molecules.
DOI: 10.5519/uwhpbsnd
title: Ray Bate Collection of mainly Cretaceous ostracods from West Africa

description: The dataset describes a named taxonomic reference collection of 311 slides of individual specimens as well as a listing of related assemblage slides covering 4 slide cabinets. Data has been enhanced by reference to various hard copy reports and logging sheets detailing the contents and stratigraphic metadata from the area.
DOI: 10.5281/zenodo.8153180
title: Bank erosion process and distribution along channel caused by multiple debris flow surges

description: This dataset contains point cloud data and Excel table data, which together describe the bank retreat process of 5 types of bank soils caused by multiple debris flow surges
DOI: 10.5281/zenodo.10363632
title: Bank erosion process and distribution along channel caused by multiple debris flow surges

description: This dataset contains point cloud data and Excel table data, which together describe the bank retreat process of 5 types of bank soils caused by multiple debris flow surges
DOI: 10.5281/zenodo.10868817
title: Bank erosion process and distribution along channel caused by multiple debris flow surges

description: This dataset contains point cloud data and Excel table data, which together describe the bank retreat process of 5 types of bank soils caused by multiple debris flow surges
DOI: 10.5281/zenodo.8153179
title: Bank erosion process and distribution along channel caused by multiple debris flow surges

description: This dataset contains point cloud data and Excel table data, which together describe the bank retreat process of 5 types of bank soils caused by multiple debris flow surges
DOI: 10.5281/zenodo.10655235
title: Climate policy and the SDGs agenda: How does near-term action on nexus SDGs influence the achievement of long-term climate goals?

description: The Sustainable Development Goals (SDGs) represent the global ambition to accelerate sustainable development. Several SDGs are directly related to climate change and policies aiming to mitigate it. This includes, among others, the set of SDGs that directly influence the climate, land, energy, and water (CLEW) nexus (SDGs 2, 6, 7, 13, 15). This study aims at understanding the synergies and trade-offs between climate policy and the SDGs agenda: how does near-term action on SDGs influence long-term climate goals?
DOI: 10.5281/zenodo.10655236
title: Climate policy and the SDGs agenda: How does near-term action on nexus SDGs influence the achievement of long-term climate goals?

description: The Sustainable Development Goals (SDGs) represent the global ambition to accelerate sustainable development. Several SDGs are directly related to climate change and policies aiming to mitigate it. This includes, among others, the set of SDGs that directly influence the climate, land, energy, and water (CLEW) nexus (SDGs 2, 6, 7, 13, 15). This study aims at understanding the synergies and trade-offs between climate policy and the SDGs agenda: how does near-term action on SDGs influence long-term climate goals?
DOI: 10.5281/zenodo.10795394
title: Magnetic Signatures of Lunar Impact Craters

description: This website contains the supplemental materials of the manuscript Magnetic Signatures of Lunar Impact Craters by Xi Yang and Mark Wieczorek that is published in Icarus.

 

Impact crater classification database provides the classifications of the magnetic signatures of lunar craters by the two analysts, using the lunar magnetic field models at the surface (Tsunakawa et al.,2015; Ravat et al., 2020) and 30 km altitude (Tsunakawa et al.,2015; Hood et al., 2021; Hood et al., 2022). The classifications using the synthetic models are also contained in this file.

Profiles (Figure 7) provides the data of azimuthally averaged magnetic field profiles used to generate Figure 7.

Impact crater summary images 1 (CC3D+PR3D+MR2D) provides the images that were used to classify the magnetic signatures of lunar craters using the magnetic field models at the surface. The synthetic models are generated using the Euler angle set 1. The magnetic signatures and topographies of complex craters and peak-ring craters are plotted by a range of three times the crater diameter, whereas the plotting range for the multi-ring craters is two times the diameter.

Impact crater summary images 1 (MR1D) provides the supplemental images that were used to classify the magnetic signatures of multi-ring craters which focus on the signatures within the main rim.

Impact crater summary images 2 (CC3D+PR3D+MR2D) and Impact crater summary images 2 (MR1D) provide the images that were used to classify the magnetic signatures of lunar craters using the magnetic field models at the surface. The synthetic models are generated using the Euler angle set 2.

Impact crater summary images 3 (CC3D+PR3D+MR2D) and Impact crater summary images 3 (MR1D) provide the images that were used to classify the magnetic signatures of lunar craters using the magnetic field model at 30 km latitude. The synthetic models are generated using the Euler angle set 1.
DOI: 10.5281/zenodo.10868972
title: Climate policy and the SDGs agenda: How does near-term action on nexus SDGs influence the achievement of long-term climate goals?

description: The Sustainable Development Goals (SDGs) represent the global ambition to accelerate sustainable development. Several SDGs are directly related to climate change and policies aiming to mitigate it. This includes, among others, the set of SDGs that directly influence the climate, land, energy, and water (CLEW) nexus (SDGs 2, 6, 7, 13, 15). This study aims at understanding the synergies and trade-offs between climate policy and the SDGs agenda: how does near-term action on SDGs influence long-term climate goals?
DOI: 10.5281/zenodo.7860665
title: Magnetic Signatures of Lunar Impact Craters

description: This website contains the supplemental materials of the manuscript Magnetic Signatures of Lunar Impact Craters by Xi Yang and Mark Wieczorek that is published in Icarus.

 

Impact crater classification database provides the classifications of the magnetic signatures of lunar craters by the two analysts, using the lunar magnetic field models at the surface (Tsunakawa et al.,2015; Ravat et al., 2020) and 30 km altitude (Tsunakawa et al.,2015; Hood et al., 2021; Hood et al., 2022). The classifications using the synthetic models are also contained in this file.

Profiles (Figure 7) provides the data of azimuthally averaged magnetic field profiles used to generate Figure 7.

Impact crater summary images 1 (CC3D+PR3D+MR2D) provides the images that were used to classify the magnetic signatures of lunar craters using the magnetic field models at the surface. The synthetic models are generated using the Euler angle set 1. The magnetic signatures and topographies of complex craters and peak-ring craters are plotted by a range of three times the crater diameter, whereas the plotting range for the multi-ring craters is two times the diameter.

Impact crater summary images 1 (MR1D) provides the supplemental images that were used to classify the magnetic signatures of multi-ring craters which focus on the signatures within the main rim.

Impact crater summary images 2 (CC3D+PR3D+MR2D) and Impact crater summary images 2 (MR1D) provide the images that were used to classify the magnetic signatures of lunar craters using the magnetic field models at the surface. The synthetic models are generated using the Euler angle set 2.

Impact crater summary images 3 (CC3D+PR3D+MR2D) and Impact crater summary images 3 (MR1D) provide the images that were used to classify the magnetic signatures of lunar craters using the magnetic field model at 30 km latitude. The synthetic models are generated using the Euler angle set 1.
DOI: 10.5281/zenodo.7860666
title: Magnetic Signatures of Lunar Impact Craters

description: This website contains the derived data from the manuscript <strong><em>Magnetic Signatures of Lunar Impact Craters</em></strong> by Xi Yang and Mark Wieczorek that is submitted to <em><strong>Journal of Geophysical Research: Planets</strong></em>. <strong>Classifications:</strong> This file provides the classifications of the magnetic signatures of lunar craters by the two analysts, using the lunar magnetic field models of Tsunakawa et al. (2015) and Ravat et al. (2020). The classifications using the synthetic models are also contained in this file. <strong>Profiles (Figure 7): </strong>This file provides the data of azimuthally averaged magnetic field profiles used to generate Figure 7. <strong>Classification_Maps CC+PR3D and MR2D:</strong> This file provides the maps that were used to classify the magnetic signatures of lunar craters. The magnetic signatures and topographies of complex craters and peak-ring craters are plotted by a range of three times the crater diameter, whereas the plotting range for the multi-ring craters is two times the diameter. <strong>Classification_Maps_MR1D:</strong> This file provides the supplemental maps that were used to classify the magnetic signatures of multi-ring craters which focus on the signatures within the main rim.
DOI: 10.5281/zenodo.7863609
title: Magnetic Signatures of Lunar Impact Craters

description: This website contains the supplemental materials of the manuscript <strong><em>Magnetic Signatures of Lunar Impact Craters</em></strong> by Xi Yang and Mark Wieczorek that is submitted to <em><strong>Journal of Geophysical Research: Planets</strong></em>. <strong>Impact crater classification database</strong> provides the classifications of the magnetic signatures of lunar craters by the two analysts, using the lunar magnetic field models of Tsunakawa et al. (2015) and Ravat et al. (2020). The classifications using the synthetic models are also contained in this file. <strong>Profiles (Figure 7)</strong> provides the data of azimuthally averaged magnetic field profiles used to generate Figure 7. <strong>Impact crater summary images (CC3D+PR3D+MR2D)</strong> provides the images that were used to classify the magnetic signatures of lunar craters. The magnetic signatures and topographies of complex craters and peak-ring craters are plotted by a range of three times the crater diameter, whereas the plotting range for the multi-ring craters is two times the diameter. <strong>Impact crater summary images (MR1D)</strong> provides the supplemental images that were used to classify the magnetic signatures of multi-ring craters which focus on the signatures within the main rim. (In this version, we only modify the descriptions of the files to make them clear)
DOI: 10.5281/zenodo.8151150
title: Magnetic Signatures of Lunar Impact Craters

description: This website contains the supplemental materials of the manuscript <strong><em>Magnetic Signatures of Lunar Impact Craters</em></strong> by Xi Yang and Mark Wieczorek that is submitted to <em><strong>Journal of Geophysical Research: Planets</strong></em>. <strong>Impact crater classification database</strong> provides the classifications of the magnetic signatures of lunar craters by the two analysts, using the lunar magnetic field models of Tsunakawa et al. (2015) and Ravat et al. (2020). The classifications using the synthetic models are also contained in this file. <strong>Profiles (Figure 7)</strong> provides the data of azimuthally averaged magnetic field profiles used to generate Figure 7. <strong>Impact crater summary images (CC3D+PR3D+MR2D)</strong> provides the images that were used to classify the magnetic signatures of lunar craters. The magnetic signatures and topographies of complex craters and peak-ring craters are plotted by a range of three times the crater diameter, whereas the plotting range for the multi-ring craters is two times the diameter. <strong>Impact crater summary images (MR1D)</strong> provides the supplemental images that were used to classify the magnetic signatures of multi-ring craters which focus on the signatures within the main rim. (In this version, we add the crater number in the 'Impact crater classification database' and 'Profiles' files which correspond to the index of craters in the 'Impact crater summary images' files, and a few typo mistakes are fixed. )
DOI: 10.6084/m9.figshare.24460528
title: Padua daily temperature 1980-2022

description: Daily minimum and maximum temperature measurements collected in Padua, Italy, between 1980 and 2022, are reported. Over this period, the weather station of Padua center underwent many changes, in location or instrument; therefore, some homogeneity tests have been used to identify and remove the effects of these variations and obtain a homogeneous time series. Both absolute and relative tests have been applied and several nearby stations and two reanalysis datasets (ERA5 and MERIDA) have been considered, to enhance the picture of the local situation and provide more robust conclusions. The original observations and the final complete corrected time series with the associated metadata are reported.OB_UNIPD contains daily minimum and maximum temperature collected at the Botanical Garden between 01/01/1980 and 31/12/1993 by the University of Padua;OB_micros_UNIPD contains daily minimum and maximum temperatures collected at the Botanical Garden between 01/10/1993 and 13/12/2001 by the University of Padua using a <i>MICROS</i> weather station;OB_ARPAV contains daily minimum and maximum temperatures collected at the Botanical Garden between 01/05/2000 and 10/03/2019 by ARPAV;CUS_ARPAV contains daily minimum and maximum temperatures collected at the University Sports Center between 11/03/2019 and 30/06/2023 by ARPAV;OB_FINAL_SERIES contains the homogenized daily minimum and maximum temperatures between 01/01/1980 and 30/06/2023, using OB_ARPAV as reference. Metadata are also indicated, reporting the source of each value. The meaning of the metadata codes is reported in OB_FINAL_SERIES_metadataFurther details are available in Stefanini et al. 2023, https://doi.org/10.3390/cli11120244.<b><i>Corrigendum</i></b><i>: the transfer functions reported in the supplementary material of </i><i>https://doi.org/10.3390/cli11120244</i><i> must be replaced with those listed in </i><i>OB_FINAL_SERIES_metadata.</i>
DOI: 10.6084/m9.figshare.24460528.v2
title: Padua daily temperature 1980-2022

description: Daily minimum and maximum temperature measurements collected in Padua, Italy, between 1980 and 2022, are reported. Over this period, the weather station of Padua center underwent many changes, in location or instrument; therefore, some homogeneity tests have been used to identify and remove the effects of these variations and obtain a homogeneous time series. Both absolute and relative tests have been applied and several nearby stations and two reanalysis datasets (ERA5 and MERIDA) have been considered, to enhance the picture of the local situation and provide more robust conclusions. The original observations and the final complete corrected time series with the associated metadata are reported.OB_UNIPD contains daily minimum and maximum temperature collected at the Botanical Garden between 01/01/1980 and 31/12/1993 by the University of Padua;OB_micros_UNIPD contains daily minimum and maximum temperatures collected at the Botanical Garden between 01/10/1993 and 13/12/2001 by the University of Padua using a <i>MICROS</i> weather station;OB_ARPAV contains daily minimum and maximum temperatures collected at the Botanical Garden between 01/05/2000 and 10/03/2019 by ARPAV;CUS_ARPAV contains daily minimum and maximum temperatures collected at the University Sports Center between 11/03/2019 and 30/06/2023 by ARPAV;OB_FINAL_SERIES contains the homogenized daily minimum and maximum temperatures between 01/01/1980 and 30/06/2023, using OB_ARPAV as reference. Metadata are also indicated, reporting the source of each value. The meaning of the metadata codes is reported in OB_FINAL_SERIES_metadata
DOI: 10.58032/agh/detgka
title: High-entropy approach to double perovskite cathode materials for solid oxide fuel cells

description: High-entropy (La,Pr,Nd,Sm,Gd)BaCo2O5+δ double perovskite-type oxide having an equimolar, high-entropy, A-site-layered arrangement of cations is synthesized for the first time. A modified Pechini method, followed by calcination and sintering at 1,100°C helps in obtaining a single-phase, homogenous material with tetragonal I4/ mmm symmetry. In situ X-ray diffraction and dilatometric studies show excellent phase stability up to 1,100°Cin air, with the average thermal expansion coefficient of 23.7·10–6 K−1 within the 25–1,100°C range. Total electrical conductivity of the metallic character exceeds 1,600 S cm−1 at room temperature. Equilibrated oxygen content at room temperature is determined as 5.69. The cathodic polarization resistance of the (La,Pr,Nd,Sm,Gd)BaCo2O5+δ layers, manufactured on the La0.8Sr0.2Ga0.8Mg0.2O2.8 (LSGM) solid electrolyte of proved inertness, is as low as 0.037 Ω cm2 at 900°C, and 0.175 Ω cm2 at 750°C. The determined value of the power density in the LSGM-based, electrolyte-supported (thickness ca. 200 μm) fuel cell reaches 857mWcm−2. These results indicate possible applicability of the developed cathode material for solid oxide fuel cells, making it also one of the best-performing high-entropy air electrodes reported until now. However, the determined physiochemical characteristics of the material indicate a relatively limited influence of the high-entropy A-site arrangement in comparison to the conventional analogs, including the synthesized Nd0.88Sm0.12Co2O5+δ composition, characterized by the same effective radius of the lanthanide cations.
DOI: 10.6084/m9.figshare.25471582
title: Supplementary Material for: Fever and increased gastrointestinal uptake on positron emission tomography after anti-tumour necrosis factor therapy: A case report of Whipple’s disease

description: Introduction: Whipple’s disease is a rare condition that can present with atypical and non-specific features requiring a high index of suspicion for diagnosis. 
Case Presentation: We present a case of a man in his 40s with peripheral arthritis and bilateral sacro-ileitis for 4-5 years that was treated with an anti-tumour necrosis factor (TNF) therapy, which led to worsening of his symptoms, elevation of the inflammatory markers, and the development of fever, night sweats, anorexia, and a significant weight loss. The patient had no abdominal pain, diarrhea, or other gastrointestinal symptoms. An FDG-PET scan showed increased uptake in the stomach and cecum. Endoscopic examination showed inflammatory changes in the stomach and normal mucosa of the duodenum, jejunum, terminal ileum, cecum, and colon. Histopathology was inconclusive, but the diagnosis was confirmed with Tropheryma whipplei PCR testing. He had no neurological symptoms, but cerebrospinal fluid Tropheryma whipplei PCR was positive. He was treated with intravenous ceftriaxone 2g daily for four weeks, followed by trimethoprim/sulfamethoxazole 160/800mg twice daily for one year with close monitoring and follow-up. 
Conclusion: This case presents an atypical and challenging presentation of Whipple’s disease and the importance of proactive testing for neurological involvement.
DOI: 10.6084/m9.figshare.22795841
title: Dataset for: Large deformation diffeomorphic mapping of 3D shape variation reveals two distinct mandible and head capsule morphs in <i>Atta vollenweideri</i> leaf-cutter worker ants

description: Data and code for the manuscript "Large deformation diffeomorphic mapping of 3D shape variation reveals two distinct mandible and head capsule morphs in <i>Atta vollenweideri</i> leaf-cutter worker ants". Included are the raw files along with a python notebook needed to replicate statistical analysis and produce the figures.
DOI: 10.6084/m9.figshare.25450378.v9
title: SAMMY-seq 4f human tracks data

description: In this repository is stored the hub used to make the genomic track UCSC session to display and share all the tracks shown into "Biochemical properties of chromatin domains define genome compartmentalization" based on the human genome (fibroblasts).
DOI: 10.6084/m9.figshare.25470016
title: No generality in biodiversity-productivity relationships along elevation in temperate and subtropical forest landscapes

description: The data is for the publication:Jia-Yun Zou, Ya-Huang Luo, Rupert Seidl, Dominik Thom, Jie Liu, Lisa Geres, Tobias Richter, Lin-Jiang Ye, Wei Zheng, Liang-Liang Ma, Jie Song, Kun Xu, De-Zhu Li, Lian Ming Gao<sup>⁎</sup>, SebastianSeibold<sup>⁎</sup>. No generality in biodiversity-productivity relationships along elevation in temperate and subtropical forest landscapes. <i>Forest Ecosystems</i>. DOI: 10.1016/j.fecs.2024.100187*corresponding authors: gaolm@mail.kib.ac.cn; sebastian.seibold@tu-dresden.de
DOI: 10.6084/m9.figshare.25470016.v1
title: No generality in biodiversity-productivity relationships along elevation in temperate and subtropical forest landscapes

description: The data is for the publication:Jia-Yun Zou, Ya-Huang Luo, Rupert Seidl, Dominik Thom, Jie Liu, Lisa Geres, Tobias Richter, Lin-Jiang Ye, Wei Zheng, Liang-Liang Ma, Jie Song, Kun Xu, De-Zhu Li, Lian Ming Gao<sup>⁎</sup>, SebastianSeibold<sup>⁎</sup>. No generality in biodiversity-productivity relationships along elevation in temperate and subtropical forest landscapes. <i>Forest Ecosystems</i>. DOI: 10.1016/j.fecs.2024.100187*corresponding authors: gaolm@mail.kib.ac.cn; sebastian.seibold@tu-dresden.de
DOI: 10.5517/ccdc.csd.cc29wykq
title: CCDC 2142024: Experimental Crystal Structure Determination

description: Related Article: Xuefeng Tan, Zhiqin Deng, Qingli Wang, Shu Chen, Guangyu Zhu, Jianwei Sun|2023|Nat. Synth.|2|275|doi:10.1038/s44160-022-00211-4
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.cc2bnx64
title: CCDC 2165046: Experimental Crystal Structure Determination

description: Related Article: Jianyi Shi, Zhongzhi Zhu, Zhendong Yang, Yuqun Lin, Tong Yu, Mingli Zhong, Tsz Woon Benedict Lo, Xiuwen Chen, Tiangang Luan|2024|Org.Lett.|26|2002|doi:10.1021/acs.orglett.4c00006
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.