cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.73749.v1
title: The inferred secondary structure of the mitochondrial large ribosomal subunit () for

description: <b>Copyright information:</b>Taken from "Using 454 technology for long-PCR based sequencing of the complete mitochondrial genome from single (Nematoda)"http://www.biomedcentral.com/1471-2164/9/11BMC Genomics 2008;9():11-11.Published online 11 Jan 2008PMCID:PMC2254599. Bonds between C:G and U:A nucleotides indicated by a straight line; bonds between U:G indicated by a closed circle and between A:G indicated by an open circle as per Hu et al [32]. Binding sites for the amino-acyl trn (A), peptidyl-transferase (P) or both (AP) as defined by Noller et al. [41] indicated in bold text according to Hu et al. [32].
DOI: 10.5281/zenodo.10865402
title: Dataset for "Experimental and Modeling Insights into Mixing-Limited Reactive Transport in Heterogeneous Porous Media: Role of Stagnant Zones"

description: This dataset contains the observed and simulated BTC of bimolecular transport experiment that was involved in "Yin et al., Experimental and Modeling Insights into Mixing-Limited Reactive Transport in Heterogeneous Porous Media: Role of Stagnant Zones".
DOI: 10.5281/zenodo.10865403
title: Dataset for "Experimental and Modeling Insights into Mixing-Limited Reactive Transport in Heterogeneous Porous Media: Role of Stagnant Zones"

description: This dataset contains the observed and simulated BTC of bimolecular transport experiment that was involved in "Yin et al., Experimental and Modeling Insights into Mixing-Limited Reactive Transport in Heterogeneous Porous Media: Role of Stagnant Zones".
DOI: 10.5281/zenodo.10035739
title: XSiteTraj: A Cross-site User Trajectory Dataset for User Linkage

description: This is the v1.0.0 release of the dataset.
DOI: 10.17632/t22nnn385k.1
title: Soil microbial functional gene dataset associated with Agathis australis

description: Kauri (Agathis australis) is a significant and iconic native tree of Aotearoa, New Zealand. A Phytophthora infection known as the kauri-dieback disease is currently destroying kauri trees. Studies have revealed that soil microorganisms can positively impact the plant immune system. These microorganisms compete with pathogens for nutrients, thereby hindering pathogen colonization. Moreover, the root microbiome is a complex system of diverse microbes with their own genetic elements and interactions that can have an impact on plant health. 
Investigating and evaluating the genetic aspects of microorganisms that impact the diversity of microbial populations is a pivotal area of emphasis in ecological research. The GeoChip 5.0M (Glomics Inc., USA) is a microarray-based metagenomic tool that specifically characterizes the functional gene profile of soil microbial diversity. It includes 1,447 gene families from a range of microorganisms, including archaea, bacteria, fungi, protists, algae, and viruses.
The Auckland Botanical Gardens in Aotearoa, New Zealand is maintained by the local council, and it features kauri trees in three distinct garden areas: native forest, kauri grove, and rose garden. The native forest is designed to simulate a natural forest setting with indigenous trees and New Zealand native plants. Kauri grove has around 100 kauri trees that are approximately 20 years old. 
Soil samples were collected from four cardinal points of each stand at 10cm depth.  The CTAB hot phenol-chloroform DNA extraction method was used to recover DNA from the soil. The pooled environmental DNA (eDNA) recovered from all four cardinal points were pooled and sent to Glomics Inc. USA for the microarray analysis. 
There were 946 genes and 4342 taxa identified from the pooled eDNA. This data offers valuable insight into the functional genes linked to kauri soil, serving as a useful foundation for future microbiome analyses of kauri soil in forest-scale studies.
Data table header descriptions
Unique ID 	- 	Probe ID
ProtienGI 	- 	GI number of protein sequence accessible through the NCBI search
AccessionNo 	- 	NCBI accession number for the sequence	
Gene 		- 	The name of the gene detected
Species 		-	The organism the gene derives from
Lineage 	-	The phylogenetic information of the organism
Gene category 	- 	The categories according to gene functions
Subcategory1	- 	Coarse division of gene categories
Subcategory2 	-	Fine division of gene categories
Samples 	- 	NF1 (Native Forest tree 1), NF2 (Native Forest tree 2), KG3 (Kauri grove tree 
			3), KG5 (Kauri grove tree 5).
Values 		- 	Normalized signal intensity
DOI: 10.6084/m9.figshare.74228.v1
title: Shows the multicellular patterns that emerge through rule A () and rule B (), respectively

description: <b>Copyright information:</b>Taken from "Simulating non-small cell lung cancer with a multiscale agent-based model"http://www.tbiomed.com/content/4/1/50Theoretical Biology & Medical Modelling 2007;4():50-50.Published online 21 Dec 2007PMCID:PMC2259313. Describes the numeric evolution () of each cell phenotype as well as of the [total] cell population () over time () for rule A () and rule B (), respectively. Note: proliferative tumor cells are labeled in , migratory cells in , quiescent cells in and dead cells in .
DOI: 10.5281/zenodo.10865460
title: DREDDA: Drug Repositioning through Expression Data Domain Adaptation
DOI: 10.5281/zenodo.10865461
title: DREDDA: Drug Repositioning through Expression Data Domain Adaptation
DOI: 10.5519/qd.w1sjbt5k
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1073 records)
DOI: 10.6084/m9.figshare.76134.v1
title: Histogram of Pearson's Correlation Coefficients of expression () of rice paralogous protein families with exactly two MPSS-qualifying genes

description: <b>Copyright information:</b>Taken from "Characterization of paralogous protein families in rice"http://www.biomedcentral.com/1471-2229/8/18BMC Plant Biology 2008;8():18-18.Published online 19 Feb 2008PMCID:PMC2275729.
DOI: 10.6084/m9.figshare.76134.v2
title: Histogram of Pearson's Correlation Coefficients of expression of rice paralogous protein families with exactly two MPSS-qualifying genes

description: <b>Copyright information:</b>Taken from "Characterization of paralogous protein families in rice"http://www.biomedcentral.com/1471-2229/8/18BMC Plant Biology 2008;8():18-18.Published online 19 Feb 2008PMCID:PMC2275729.
DOI: 10.6084/m9.figshare.77381.v1
title: The relationship between ln () and ln() using the free energy sequence of one promoter (Left); the h(q) spectra for the one promoter calculated by AMFA (Right)

description: <b>Copyright information:</b>Taken from "Human Pol II promoter recognition based on primary sequences and free energy of dinucleotides"http://www.biomedcentral.com/1471-2105/9/113BMC Bioinformatics 2008;9():113-113.Published online 24 Feb 2008PMCID:PMC2292139.
DOI: 10.48577/jpl.pxj8h4
title: Joint 1DVar Retrievals of Tropospheric Temperature and Water Vapor from GNSS-RO and Microwave Radiometer Observations

description: Global Navigation Satellite System – Radio Occultation (GNSS-RO) and Microwave Radiometry (MWR) are two of the most impactful spaceborne remote sensing techniques for numerical weather prediction (NWP). These two techniques provide complementary information about atmospheric temperature and water vapor structure. GNSS-RO provides high vertical resolution measurements with cloud penetration capability, but the temperature and moisture are coupled in the GNSS-RO retrieval process and their separation requires the use of a-priori information or auxiliary observations. On the other hand, the MWR measures brightness temperature ($T_b$) in numerous frequency bands related to the temperature and water vapor structure, but is limited by poor vertical resolution (&gt;2km) and precipitation. In this study we combine these two technologies in an optimal estimation approach, 1D Variation method (1DVar), to better characterize the complex thermodynamic structures in the lower troposphere. This study employs both simulated and operational observations. GNSS-RO bending angle and MWR $T_b$ observations are used as inputs to the joint retrieval, where bending can be modeled by an Abel integral and $T_b$ can be modeled by a Radiative Transfer Model (RTM) that takes into account atmospheric absorption, and surface reflection and emission. By incorporating the forward operators into the 1DVar method, the strength of both techniques can be combined to bridge individual weaknesses. Applying 1DVar to the data simulated from Large Eddy Simulation (LES) is shown to reduce GNSS-RO temperature and water vapor retrieval biases at lower troposphere, while simultaneously capturing the fine-scale variability that MWR cannot resolve. A sensitivity analysis is also conducted to quantify the impact of the a-priori information and error covariance used in different retrieval scenarios. The applicability of 1DVar joint retrieval to the actual GNSS-RO and MWR observations is also demonstrated through combining collocated COSMIC-2 and Suomi-NPP measurements.
DOI: 10.48577/jpl.i1uewa
title: Development of Terrain-Relative Guidance for Planetary Landing Applications

description: The use of terrain sensing for navigation and guidance in planetary soft landing is a powerful capability for robotic space missions but one that took decades to mature across many different research tasks, technology developments, and field/flight test activities. This paper summarizes significant milestones in the development of this important capability for planetary exploration, which was first employed operationally in NASA’s Mars 2020 mission, as well as related applications that are just maturing and coming into use. A brief look at current work leading to future applications is included.
DOI: 10.48577/jpl.2xr6pb
title: Understanding Radiation Processing of Astrophysical and Planetary Ice and Atmosphere Analogs

description: No abstract available.
DOI: 10.48577/jpl.zkxkhr
title: Euclid and the Golden Age of Optical/IR Survey Astronomy

description: No abstract available.
DOI: 10.48577/jpl.upqduc
title: Surface Enhanced Vibrational Spectroscopy Using Concurrent Raman and Infrared Spectroscopy

description: No abstract available.
DOI: 10.48577/jpl.l3yuko
title: Making an Onboard Reference Map from MRO/CTX Imagery for Mars 2020 Lander Vision System

description: No abstract available.
DOI: 10.48577/jpl.2wdsfr
title: The two timing campaigns of the International Asteroid Warning Network

description: No abstract available.
DOI: 10.48577/jpl.qkigfc
title: OCO-2 and OCO-3: Mission Status and Calibration Improvements

description: No abstract available.
DOI: 10.48577/jpl.untwqg
title: Comments for NAS Panel on Planetary Protection

description: No abstract available.
DOI: 10.48577/jpl.mammts
title: EarthCARE in the decade of convection

description: No abstract available.
DOI: 10.48577/jpl.g86q0f
title: Projections of extreme humid heat impacts at 10 km resolution

description: No abstract available.
DOI: 10.48577/jpl.dl8obl
title: Dual-Frequency Metasurface Antenna for Earth Science Remote Sensing

description: No abstract available.
DOI: 10.48577/jpl.m2lg5g
title: Presentation: Thoughts On Technical Issue Resolution

description: No abstract available.
DOI: 10.48577/jpl.z9fsra
title: Terahertz Antennas and Systems for Space Applications

description: No abstract available.
DOI: 10.48577/jpl.bmlfad
title: Accessing Data for the World's Water with SWOT

description: No abstract available.
DOI: 10.48577/jpl.rpab3m
title: Water Vapor at Jezero Crater, Mars

description: No abstract available.
DOI: 10.48577/jpl.9hbod5
title: The temporal brightening of Uranus’ northern polar hood from HST/WFC3 HST/STIS observations

description: Observations of Uranus since northern spring equinox (2007) have tracked the formation and evolution of a north polar ‘hood’ within its atmosphere. Hubble Space Telescope Wide-Field Camera (HST/WFC3) observations spanning 2015 to 2021, obtained from the Outer Planet Atmospheres Legacy (OPAL) programme, confirm a brightening of this large-scale latitudinal feature with time. The vertical aerosol model of Irwin et al. (2023), consisting of a deep haze layer based at ∼5 bar (aerosol-1), a 1 – 2 bar haze layer (aerosol-2) and an extended haze (aerosol-3) rising up from the 1 – 2 bar layer, was applied to retrievals on HST Space Telescope Imaging Spectrograph (HST/STIS) observations from 2012 2015 (Sromovsky et al., 2014, 2019). Retrieved cloud-top methane (CH4) volume mixing ratio (VMR) latitudinal profiles reveal a reduction in CH4 by an average of 0.19 ± 0.03% between 40 – 80◦N (i.e., a ∼10% reduction) between 2012 and 2015. Latitudinal retrievals on the HST/WFC3 dataset, again employing the IRW23 model, reveal a temporal thickening of the 1 – 2 bar haze layer to be the main cause of the polar hood brightening, finding an average increase of 1.2 ± 0.3 in the integrated opacity at 0.8 μm north of ∼45◦N between 2015 and 2021. A forward-model study carried out on the HST/STIS dataset showed this solution to be insufficient to account for the spectral fingerprint of the polar hood brightening. Subsequent HST/STIS retrievals show the same signature thickening of the 1 – 2 bar haze layer, finding the integrated opacity to increase by an average of 1.09 ± 0.08 at 0.8 μm north of ∼45◦N (i.e., a ∼34% increase), concurrent with a decrease in the imaginary refractive index spectrum of the 1 – 2 bar haze layer north of ∼40◦N and longwards of ∼0.7 μm, and between 60◦N and 80◦N at ∼0.5 μm. Small contributions to the brightening were also found from a thickening of the deep aerosol layer, with an average increase in the integrated opacity of 0.6 ± 0.1 north of 45◦N (i.e., a ∼56% increase) between 2012 and 2015, and from the aforementioned decrease in cloud-top CH4 abundance. Our results are consistent with the slowing of a meridional circulation, similar to that posited by Fletcher et al. (2020), exhibiting strong subsidence at the poles.
DOI: 10.48577/jpl.sba7wj
title: International Association of Geodesy

description: No abstract available.
DOI: 10.48577/jpl.nfcghg
title: Uncertainty Quantification of the Gain Budget for INCUS

description: No abstract available.
DOI: 10.48577/jpl.rn2nni
title: Science Stories

description: No abstract available.
DOI: 10.48577/jpl.mzi5zn
title: Ocean dynamic persistence provides substantial predictability for El Niño-Southern Oscillation (ENSO)

description: No abstract available.
DOI: 10.48577/jpl.ysvmbd
title: Iris Deep-Space Transponder Performance on Artemis-1 Cubesats Payloads

description: No abstract available.
DOI: 10.48577/jpl.0xamvm
title: Modelling the effect of volcanic outgassing of sulphur on early Martian climate and geology

description: No abstract available.
DOI: 10.48577/jpl.qrjyup
title: The 2023 PDC Hypothetical Impact Scenario, Epoch 1 Summary

description: No abstract available.
DOI: 10.48577/jpl.c7xsqr
title: InSight on Mars, 2018-2022: What a single station on Mars was able to reveal about the interior from near-surface to the core

description: No abstract available.
DOI: 10.48577/jpl.puhkhb
title: Habitable Worlds Observatory - Telling the story of life in the Universe

description: No abstract available.
DOI: 10.48577/jpl.y4ibqp
title: Cloud Physics from Space* - an update!

description: No abstract available.
DOI: 10.48577/jpl.rgptdr
title: Feed Assembly Development for INCUS

description: No abstract available.
DOI: 10.5281/zenodo.10865484
title: Dataset : Acute kidney injury complicating critical forms of COVID-19: risk factors and prognostic impact

description: We aimed to assess the incidence, risk factors and prognostic impact of AKI complicating critical forms of COVID-19. Thus we conducted a retrospective descriptive case/control monocentric study conducted in a medical intensive care unit of a tertiary teaching hospital over a period of 18 months.
DOI: 10.5517/ccdc.csd.cc2h2my5
title: CCDC 2296447: Experimental Crystal Structure Determination

description: Related Article: Shashikant Tiwari, Manisha Kumari, Diwan S. Rawat|2024|Org.Lett.|26|2303|doi:10.1021/acs.orglett.4c00539
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.cc2h3dfg
title: CCDC 2297175: Experimental Crystal Structure Determination

description: Related Article: Lijun Zhang, Zhiguang Song|2024|Org.Lett.|26|2192|doi:10.1021/acs.orglett.4c00294
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.cc2h95kk
title: CCDC 2302728: Experimental Crystal Structure Determination

description: Related Article: Isaac F. Yu, Kyan A. D’Angelo, Ángel D. Hernandez-Mejías, Nanrun Cheng, John F. Hartwig|2024|J.Am.Chem.Soc.|146|7124|doi:10.1021/jacs.3c12981
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.cc2h95ll
title: CCDC 2302729: Experimental Crystal Structure Determination

description: Related Article: Isaac F. Yu, Kyan A. D’Angelo, Ángel D. Hernandez-Mejías, Nanrun Cheng, John F. Hartwig|2024|J.Am.Chem.Soc.|146|7124|doi:10.1021/jacs.3c12981
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.cc2h9pk2
title: CCDC 2303224: Experimental Crystal Structure Determination

description: Related Article: Liqun Yang, Xiaoyu Wu, Wenkui Lu, Yan Lu, Zhaoguo Zhang|2024|Org.Lett.|26|2287|doi:10.1021/acs.orglett.4c00450
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.cc2hlczg
title: CCDC 2311576: Experimental Crystal Structure Determination

description: Related Article: Xuefeng He, Régis Guillot, Sandrine Deloisy, David J. Aitken|2024|Org.Lett.|26|2207|doi:10.1021/acs.orglett.4c00370
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.cc288kch
title: CCDC 2093596: Experimental Crystal Structure Determination

description: Related Article: Xuefeng He, Régis Guillot, Sandrine Deloisy, David J. Aitken|2024|Org.Lett.|26|2207|doi:10.1021/acs.orglett.4c00370
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.cc2hzfqn
title: CCDC 2323162: Experimental Crystal Structure Determination

description: Related Article: Xudong Zheng, Xinlong Guo, Hongyu Wang, Pan-Pan Zhou, Xiaoming Chen|2024|J.Am.Chem.Soc.|146|7198|doi:10.1021/jacs.4c01033
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.cc2hzg32
title: CCDC 2323174: Experimental Crystal Structure Determination

description: Related Article: Xudong Zheng, Xinlong Guo, Hongyu Wang, Pan-Pan Zhou, Xiaoming Chen|2024|J.Am.Chem.Soc.|146|7198|doi:10.1021/jacs.4c01033
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.cc2hzz4m
title: CCDC 2323671: Experimental Crystal Structure Determination

description: Related Article: Madara Darzina, Aigars Jirgensons|2024|Org.Lett.|26|2158|doi:10.1021/acs.orglett.4c00143
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.cc2hzz5n
title: CCDC 2323672: Experimental Crystal Structure Determination

description: Related Article: Madara Darzina, Aigars Jirgensons|2024|Org.Lett.|26|2158|doi:10.1021/acs.orglett.4c00143
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.cc2hzz6p
title: CCDC 2323673: Experimental Crystal Structure Determination

description: Related Article: Madara Darzina, Aigars Jirgensons|2024|Org.Lett.|26|2158|doi:10.1021/acs.orglett.4c00143
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.cc2j01qb
title: CCDC 2323751: Experimental Crystal Structure Determination

description: Related Article: Zhuanling Bai, Nicholas B. Beck, Benjamin Scheibe, Joseph M. Sperling, Ashley Weiland, Michael Ruf, Jacob P. Brannon, Brian M. Rotermund, Daniela Gomez Martinez, Thomas E. Albrecht-Schönzart|2024|J.Am.Chem.Soc.|146|7822|doi:10.1021/jacs.4c00803
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.