cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48579/pro/dgvwpw/xq9yis
title: D11_RC_9B4_B.md_HCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/5yx5pm
title: B4_RC_8F5_B.pl_HCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/98u7cv
title: G6_RC_8E9_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/9pzeia
title: E11_RC_9C4_B.md_HCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/ttqkrr
title: E12_RC_9C5_B.md_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/xg7xys
title: B7_RC_8A10_B.pl_HCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/5c8twp
title: C2_RC_8A3_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/dplwqt
title: G10_RC_9E3_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/flxcgz
title: CR_Fiche de métadonnées version juillet 2018.xls

description: :unav
DOI: 10.48579/pro/dgvwpw/lwjfa1
title: A8_RC_8B11_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/tuyolm
title: A7_RC_8G9_B.pl_HCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/yqo63w
title: G4_RC_8E6_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/aqtecw
title: D8_RC_8F11_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/dodyhx
title: A4_RC_8E5_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/ittypi
title: A3_RC_8A4_B.pl_HCOI.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/jbtnn8
title: H8_RC_9A1_B.pl_HCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/jpgxrl
title: C12_RC_9A5_B.md_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/511s7m
title: B7_RC_8A10_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/8e4huh
title: D7_RC_8C10_B.pl_HCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/ahzniy
title: C4_RC_8G5_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/cua34e
title: G11_RC_9E4_B.md_HCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/ricvkw
title: H1_RC_8E2_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/xiw5y2
title: D3_RC_8F4_B.pl_HCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/hh8ryb
title: A5_RC_8G6_B.pl_HCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/o29ocr
title: E4_RC_8B6_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/of4d3w
title: H8_RC_9A1_B.pl_LCOI.ab1.ab1

description: :unav
DOI: 10.48579/pro/dgvwpw/wweivp
title: C4_RC_8G5_B.pl_HCOI.ab1.ab1

description: :unav
DOI: 10.5281/zenodo.10046824
title: Data repository for "Supercurrent mediated by helical edge modes in bilayer graphene"

description: This is the data and scripts for the data presented in the manuscript "Supercurrent mediated by helical edge modes in bilayer graphene".
DOI: 10.5281/zenodo.7944461
title: Data repository for "Supercurrent mediated by helical edge modes in bilayer graphene"

description: This is the data and scripts for the data presented in the manuscript "Supercurrent mediated by helical edge modes in bilayer graphene".
DOI: 10.5281/zenodo.7944462
title: Data repository for "Supercurrent mediated by helical edge modes in bilayer graphene"

description: This is the data and scripts for the data presented in the manuscript "Supercurrent mediated by helical edge modes in bilayer graphene".
DOI: 10.5281/zenodo.8392972
title: Buried Interface Engineering Enables Efficient and 1,960-hour Isos-L-2i Stable Inverted Perovskite Solar Cells

description: High-performance perovskite solar cells (PSCs) typically require interfacial passivation, yet this is challenging for the buried interface, owing to the dissolution of passivation agents during the deposition of perovskites. Here, we overcome this limitation with in-situ buried interface passivation – achieved via directly adding a cyanoacrylic acid-based molecular additive, namely BT-T, into the perovskite precursor solution. Classical and ab-initio molecular dynamics simulations reveal that BT-T spontaneously may self-assemble at the buried interface during the formation of the perovskite layer on a nickel oxide hole transporting layer. The preferential buried interface passivation results in facilitated hole transfer and suppressed charge recombination. In addition, residual BT-T molecules in the perovskite layer enhance its stability and homogeneity. We report a power-conversion efficiency (PCE) of 23.48% for 1.0 cm2 inverted-structure PSCs. The encapsulated PSC retains 95.4% of its initial PCE following 1,960-hour maximum power point tracking under continuous light illumination at 65°C (i.e., ISOS-L-2I protocol). Our demonstration of operating-stable PSCs under accelerated ageing conditions represents a step closer to the commercialization of this emerging technology.
description: Quantum Espresso and CP2K input files, .cif and .xyz files of the structures, and last AIMD configuration of the full system - FAPbI3/BT-T/NiOx (sandwich_last.pdb) -  are attached.
DOI: 10.5522/04/22574791
title: Data underpinning "Maximizing the Capacity of Graded-Index Multimode Fibers in the Linear Regime"

description: This dataset contains optimised refractive index profile designs for multimode optical fibres with over 1000 linearly polarised modes. The base profile is composed of a graded-index core and a cladding trench. All parameters were optimised following the procedure described in the manuscript "Maximizing the Capacity of Graded-Index Multimode Fibers in the Linear Regime", DOI: 10.1109/JLT.2023.3324611. The optimisation was carried out on Matlab using a vector finite difference mode solver following the method in DOI: 10.1109/JLT.2008.923643.
DOI: 10.5522/04/22574791.v1
title: Data underpinning "Maximizing the Capacity of Graded-Index Multimode Fibers in the Linear Regime"

description: This dataset contains optimised refractive index profile designs for multimode optical fibres with over 1000 linearly polarised modes. The base profile is composed of a graded-index core and a cladding trench. All parameters were optimised following the procedure described in the manuscript "Maximizing the Capacity of Graded-Index Multimode Fibers in the Linear Regime", DOI: 10.1109/JLT.2023.3324611. The optimisation was carried out on Matlab using a vector finite difference mode solver following the method in DOI: 10.1109/JLT.2008.923643.
DOI: 10.5281/zenodo.8392971
title: Buried Interface Engineering Enables Efficient and 1,960-hour Isos-L-2i Stable Inverted Perovskite Solar Cells

description: High-performance perovskite solar cells (PSCs) typically require interfacial passivation, yet this is challenging for the buried interface, owing to the dissolution of passivation agents during the deposition of perovskites. Here, we overcome this limitation with in-situ buried interface passivation – achieved via directly adding a cyanoacrylic acid-based molecular additive, namely BT-T, into the perovskite precursor solution. Classical and ab-initio molecular dynamics simulations reveal that BT-T spontaneously may self-assemble at the buried interface during the formation of the perovskite layer on a nickel oxide hole transporting layer. The preferential buried interface passivation results in facilitated hole transfer and suppressed charge recombination. In addition, residual BT-T molecules in the perovskite layer enhance its stability and homogeneity. We report a power-conversion efficiency (PCE) of 23.48% for 1.0 cm2 inverted-structure PSCs. The encapsulated PSC retains 95.4% of its initial PCE following 1,960-hour maximum power point tracking under continuous light illumination at 65°C (i.e., ISOS-L-2I protocol). Our demonstration of operating-stable PSCs under accelerated ageing conditions represents a step closer to the commercialization of this emerging technology.
description: Quantum Espresso and CP2K input files, .cif and .xyz files of the structures, and last AIMD configuration of the full system - FAPbI3/BT-T/NiOx (sandwich_last.pdb) -  are attached.
DOI: 10.35003/nmh04d/jmzoww
title: 1-s2.0-S0016703721002374-mmc2.pdf

description: :unav
DOI: 10.35003/nmh04d/sl57wj
title: 1-s2.0-S0016703721002374-mmc1.tab

description: :unav
DOI: 10.35003/nmh04d/udr1vz
title: Fig 7.jpg

description: Fig. 7. Variation of Co vs. Ni in the analysed spots from (a) nonporphyritic chondrules, (b) type II and opaque mineral-bearing altered porphyritic chondrules, (c) type I porphyritic chondrules, and (d) enlarged view of (c). Black straight line represents CI-chondrite like Ni/Co ratios (Lodders, 2003). Deviations from the CI chondrite-like Ni/Co ratio are observed for analyses near to the rim and for analyses with higher Ni and Co concentrations.
DOI: 10.35003/nmh04d/ht1pru
title: Fig 6.jpg

description: Fig. 6. CI chondrite-normalized REE, Al and Mg abundance patterns of mesostasis in (a) non-porphyritic chondrules, (b) porphyritic (type I) chondrules, and (c) porphyritic (type II) chondrules from the Allende meteorite. CI chondrite values are from Lodders (2003). REE in mesostasis from all types of chondrules are 10–20 times enriched compared to CI chondrites and are mostly unfractionated.
DOI: 10.35003/nmh04d/zwhmcg
title: Fig 3.jpg

description: Fig. 3. Backscattered electron images of type II and opaque mineral-bearing porphyritic chondrules after Si isotope analysis. Laser spots are shown in white color. Similar to Fig. 1, δ30Si of each chondrule is shown by a different color, to match with the data in following figures and light blue colored values near the laser ablation spots correspond to the distance from rim to core. The boxes around the δ30Si values for identification of the major analysed phase are such as, yellow box = forsterite, red = mesostasis, green = pyroxene, and pink = rim. Dashed red color boxes are for mesostasis-rich mix analyses. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
DOI: 10.35003/nmh04d/zrvp9h
title: 134 Kadlag et al tables.tab

description: :unav
DOI: 10.35003/nmh04d/okjjvp
title: Fig 8.jpg

description: Fig. 8. Variation of δ30Si vs. CI chondrite-normalized K/Ca (a) non-porphyritic chondrule silicates and in (b) porphyritic chondrule silicates of this study. Non-systematic variations of δ30Si and K/Ca in chondrule phases may reflect differences in the volatilities of K, Ca and Si, and the different partitioning of these elements between olivine, pyroxenes and mesostasis.
DOI: 10.35003/nmh04d/vkjxh5
title: Fig 9.jpg

description: Fig. 9. Depiction of the sequence and processes of Si isotope fractionation in chondrule silicates from the Allende meteorite. The chondrule formation process produced melt from which early silicates with high δ30Si and Mg/Fe crystallized. Because of evaporation of chondrule melt, the nebular gas became slightly enriched in 28Si and Fe. Caused by density differences, chondrules were separated from the gas and associated dust, which may have formed a tail behind partially or fully crystallized chondrules. This early-formed ‘main chondrule population’ comprises non-porphyritic and porphyritic metal-poor and metal-bearing type I chondrules. Remaining evaporated material in the tail was more oxidized and richer in volatiles compared to the solidifying non-porphyritic and porphyritic type I chondrules. Interaction of this gas (specifically Fe, SiO, and O) with 30Si- and Mg-rich chondrules may have formed type II chondrules and minerals with lower δ30Si and Mg/Fe. Finally, parent body metamorphism may have overprinted these processes locally in altered chondrules.
DOI: 10.35003/nmh04d/ommajw
title: Fig 4.jpg

description: Fig. 4. δ30Si values of chondrule silicates analyzed in this study. The range of literature δ30Si values of bulk carbonaceous chondrites, ordinary chondrites, enstatite chondrites and individual chondrules from the Allende meteorite is shown for comparison (Molini-Velsko et al., 1983, Georg et al., 2007, Fitoussi et al., 2009, Chakrabarti and Jacobsen, 2010, Hezel et al., 2010, Armytage, 2011, Armytage et al., 2011, Savage and Moynier, 2013). Red open circle = mesostasis, red dotted circle = mesostasis-rich, black solid circle = forsterite, black open circle = analysis from rim, green solid circle (yellow border in CH#6) = pyroxene, and grey solid circle = Fe-rich olivine. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
DOI: 10.35003/nmh04d/dmodvp
title: Fig 1.jpg

description: Fig. 1. Backscattered electron images of non-porphyritic chondrules after Si isotope analysis. White color of the laser spots, cracks and holes are due to the leftover of gold coating. δ30Si of each chondrule is shown by a different color, to match the data in the following figures. Light blue colored values near the laser ablation spots correspond to the distance from rim to core. The boxes around the δ30Si values for identification of the major analysed phase are such that yellow box = forsterite, red = mesostasis, and pink = rim. For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.
DOI: 10.35003/nmh04d/b9djsk
title: Fig 2.jpg

description: Fig. 2. Backscattered electron images of porphyritic type I chondrules after Si isotope analysis. Laser spots are shown in white color. Similar to Fig. 1, δ30Si of each chondrule is shown by a different color, to match with the data in following figures and light blue colored values near the laser ablation spots correspond to the distance from rim to core. The boxes around the δ30Si values for identification of the major analysed phase are such that yellow box = forsterite, red = mesostasis, green = pyroxene, and pink = rim. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
DOI: 10.35003/nmh04d
title: Replication Data for: In situ Si isotope and chemical constraints on formation and processing of chondrules in the Allende meteorite

description: Chondrules in undifferentiated meteorites are former silicate melt droplets of variable texture and composition. Although widely studied, the chondrule formation mechanisms and conditions that explain all properties of chondrules are yet to be identified. To further constrain the processes that affected chondrules in the solar nebula and on the meteorite parent body, we determined in situ Si isotope ratios and major and trace element compositions of minerals in chondrules of variable types and sizes from the Allende CV3 chondrite. The δ30Si in chondrule minerals ranges from −1.28 ± 0.19 to 0.55 ± 0.20‰ (2SE). The δ30Si in chondrules shows no direct relationship with chondrule sizes or with distance between core and rim. Barred olivine-rich chondrules record the highest δ30Si, likely because of faster cooling and less interaction with isotopically light nebular gas. Type I non-porphyritic and some porphyritic chondrules show overall higher δ30Si compared to type II porphyritic chondrules. Furthermore, Mg-rich olivine and Mg-rich pyroxene have systematically higher δ30Si compared to Fe-rich olivine and Fe-rich pyroxene. The variable δ30Si of type I chondrule silicates (Mg-rich) compared to type II chondrule silicates (Fe-rich) may be explained by variable interaction of chondrule silicates with the nebular gas in the solar nebula. We envision a combination of equilibrium and kinetic isotope fractionation of Si between nebular gas and Fe-poor silicates (such as forsterite, anorthite, enstatite and mesostasis) and Fe-rich olivine and orthopyroxene. Petrographic evidence suggests that the enrichment of Fe in some highly altered porphyritic chondrules and at chondrule rims was likely caused by hydrothermal alteration on the parent body. Therefore, the correlation of Fe and δ30Si of the chondrule minerals might serve as an indicator for the extent of further secondary processing of some chondrule minerals. The sum of these observations suggests that the formation and alteration of type II chondrules occurred by oxidation of originally reduced, metal-rich type I chondrules, both in the solar nebula and later on the meteorite parent body. Remaining 30Si depleted gas contributed to the isotopic composition of matrix silicates. The evidence favours the formation of chondrules and matrix of the Allende meteorite in nebular settings rather than by asteroid impacts.
DOI: 10.35003/nmh04d/1ti33p
title: Fig 5.jpg

description: Fig. 5. δ30Si versus major element ratios (wt.%/wt.%) in chondrules from the Allende meteorite (a-c: non-porphyritic chondrules, d-f: porphyritic chondrules). (a, b) δ30Si vs. Mg/Fe; (c, d) δ30Si vs. Mg/Si; (e, f) δ30Si vs. Ca/Na. The δ30Si and major element data for bulk Allende and CI chondrites is from (Jarosewich et al., 1987, Lodders, 2003, Georg et al., 2007, Fitoussi et al., 2009, Armytage et al., 2011, Zambardi et al., 2013). Gray symbols are bulk chondrule data for Allende chondrules from Armytage (2011). Chondrule analyses show no systematic variation in δ30Si vs. Ca/Na, except for the radial pyroxene chondrule (RPC). RPC show an inverse correlation between δ30Si vs. Ca/Na. δ30Si correlates with Mg/Fe (black correlation line). Correlated variations between δ30Si and Mg/Si occur in most porphyritic chondrules (c and d). Non-porphyritic chondrules have higher average δ30Si values than CI chondrites and show significant variations in the Mg/Si ratio. This difference can be explained by the variable relative contributions of kinetic and equilibrium isotope fractionation processes in texturally different chondrules. If the δ30Si and Mg/Si values of the chondrule minerals resulted from the equilibrium fractionation of early formed solids and remaining nebular gas with CI chondrite-like initial composition, they would fall between the two dashed lines in Figs. (c) and (d). This area represents the window of solid–gas equilibrium isotope fractionation and interaction of 70% to 20% of forsterite with 30% to 80% remaining SiOgas. Details of the calculations are provided in the Supplementary Information. The two solid lines represent the window of kinetic isotope fractionation between 50% solid and 50% gas (line towards higher Mg/Si) and 20% solid and 80% gas (towards lower Mg/Si). The variation of δ30Si and Mg/Si in all porphyritic chondrules and in some non-porphyritic chondrules reflects equilibrium isotope fractionation between early-crystallized silicates (mainly forsterite) and nebular gas (SiOgas). Non-systematic variations of δ30Si and Mg/Si in barred olivine chondrules that fall into the pink field reflect kinetic isotope fractionation during the formation of these chondrules.
DOI: 10.5281/zenodo.8158853
title: Transcriptional repression by a secondary DNA binding surface of  DNA topoisomerase I safeguards against transcription overdrive

description: Molecular dynamics simulation input files and processed output trajectories.
DOI: 10.5281/zenodo.8158854
title: Transcriptional repression by a secondary DNA binding surface of  DNA topoisomerase I safeguards against transcription overdrive

description: Molecular dynamics simulation input files and processed output trajectories.
DOI: 10.6084/m9.figshare.24449089
title: W-GHG

description: data of "Effects of whole-soil warming on CH4 and N2O fluxes in an alpine grassland"
DOI: 10.18715/ipgp.2023.lmgoas32
title: Dune morphology under tri-directional wind regimes

description: Dune morphology was simulated using coupled models of wind flow and sand transport for 4728 tri-directional wind regimes and bed conditions. Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center from September 2019 to September 2022.
DOI: 10.6084/m9.figshare.23925291.v9
title: Dataset Artificial warming decreases heterotroph densities and predator-prey biomass ratio in aquatic systems

description: This file holds the data and scripts used in the article "Artificial warming decreases heterotroph densities and predator-prey biomass ratio in aquatic systems".Data are available in files whose name begins with the prefix "df". The variables names "date" and "date_c" represent the sampling date in discrete or continue value, respectively. "mesocosm_ID" is the identity of the mesocosm. "fish" represent the fish treatment (NF for No Fish, LB for Large-bodied fish and SB for Small-bodied fish). "warming" is the temperature treatment (NW for no warming, W for warming). "tmean15" is the mean temperature of the 15 days prior to the sampling date. "compartment", "class", "order" and "taxa" represent the taxonomy of the organisms. "N_l" is the density per liter. "C_mug_l" is the carbon biomass in microgram per liter. "S" and "H" are the species richness and the Shannon diversity index, respectively. "ZP" is the zooplankton:phytoplankton biomass ratio. The variables in df_bss.csv file are described in the main text of the article.Files with a numerical prefix are the scripts used for the statistical analyzes (multivariate analyzes, ecological index, community density and biomass, Predator Prey Biomass Ratio and Biomass Size Spectra).
DOI: 10.21227/t238-0h03
title: Factor Graph Method for Target State Estimation in Bearing-only Sensor Network

description: In the process of target tracking and localization in bearing-only sensor network, it is an essential and significant challenge to solve the problem of plug-and-play expansion while enhancing the accuracy of state estimation and stability of the system. This paper proposes the distributed cubature information filtering method based on the two-layer factor graph. Firstly, the distributed measurement model of the bearing-only sensor network and the motion model of the maneuvering target are constructed, and by investigating the observability and the Cramer-Rao lower bound of the system model, the preconditions are analyzed. Subsequently, the localization factor graph and cubature information filtering algorithm of sensor node pairs are proposed for localized estimation. Building upon this foundation, the mechanism for propagating confidence messages within the fusion factor graph is designed, and is extended to the entire sensor network to achieve global state estimation. Finally, some groups of simulation experiments are conducted to compare and analyze the results, which verifies the rationality, effectiveness and superiority of the proposed distributed cubature information filtering method based on factor graph.
DOI: 10.5281/zenodo.10046694
title: Example dataset for single-photon microscopy

description: Datasets for spot-variation fluorescence fluctuation analysis, fluorescence lifetime fluctuation analysis and fluorescence cross-correlation analysis. One dataset is intensity-based, while three are time-tagged based.
DOI: 10.6084/m9.figshare.24449122
title: Data of research

description: Extraction of nanocellulose from agricultural waste.
DOI: 10.6084/m9.figshare.24449122.v1
title: Data of research

description: Extraction of nanocellulose from agricultural waste.
DOI: 10.6084/m9.figshare.23289800
title: MRI datasets used in the manuscript "Dynamic and rapid deep synthesis of chemical exchange saturation transfer and semisolid magnetization transfer MRI signals".

description: The data comprises raw .mat format images (which can be read by Python, Matlab, and other software).The images were acquired using a 9.4T preclinical MRI on a chemical exchange saturation transfer (CEST) in-vitro model (L-arginine phantoms) and an in-vivo wild-type mouse.Detailed datasets and acquisition properties are available at: https://www.nature.com/articles/s41598-023-45548-8Please cite the following manuscript in case the data are being used:Nagar, D., Vladimirov, N., Farrar, C.T., Perlman O<i>.</i> Dynamic and rapid deep synthesis of chemical exchange saturation transfer and semisolid magnetization transfer MRI signals. <i>Sci Rep</i> <b>13</b>, 18291 (2023). https://doi.org/10.1038/s41598-023-45548-8