cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.fvlrmm
title: Onboard Scheduling and Execution to Address Uncertainty for a Planetary Lander

description: The Europa Lander Mission Concept presents a number of challenges. The current mission concept would land with a fixed amount of energy, an expected mission lifetime of approximately 30 days, and would be able to communicate with the Earth in less than 42 out of every 84 hours due to the Europa-Jupiter orbit. Additionally, planned activities such as trenching and sampling, will interact significantly with a largely unknown environment and therefore may encounter failure or highly variable duration or energy consumption when executing. All of these factors present challenges for a conventional ground operations paradigm. We describe advanced prototyping of onboard autonomy software to address such challenges. Onboard event driven execution and rescheduling offer promise to enable the lander to adjust to execution feedback without incurring costly ground interaction. We describe prototyping with the TRACE execution system and the Mexec scheduling and execution system. We show how these autonomy systems can address: uncertainty in domain modeling, stochasticity at execution time, and the presence of exogenous events.
DOI: 10.48577/jpl.tuv7om
title: DISTRIBUTED ABSOLUTE AND RELATIVE ESTIMATION OF SPACECRAFT FORMATIONS

description: For optimal decision making and collaborative task performance in multi- spacecraft missions, it is essential for each spacecraft to maintain a state estimate of all the spacecraft in the formation. However, especially in the case of large formation sizes, each spacecraft may not be able to track or communicate with all other spacecraft. Further, for formations deployed in deep space, the unavailability of the Global Navigation Satellite System makes inertial state estimation challenging. We propose the Distributed Absolute and Relative Estimation (DARE) algorithm for autonomous inertial estimation of spacecraft formations. The algorithm enables each spacecraft to maintain an accurate inertial estimate of the entire formation even in the presence of observability and communication constraints. Each spacecraft utilizes measurements of feature points (landmarks) for inertial localization and measurements of neighboring spacecraft for relative localization. The algorithm is distributed and scalable to any number of spacecraft in the formation. A modified version of the algorithm called the Sparse Distributed Absolute and Relative Estimation (SDARE) algorithm is also derived. This algorithm is computationally more efficient at the expense of estimation accuracy making it suitable for implementation on nano-satellites where resources are limited. Numerical simulation results demonstrating the effectiveness and comparing the performance of both the algorithms are provided.
DOI: 10.48577/jpl.5xxazg
title: Experimental Investigation of Evaporator and Condenser Placement Configuration for Oscillating Heat Pipes

description: In this work, we explore two different Oscillating Heat Pipe (OHP) evaporator-condenser placement configurations, and investigate and quantify the effects on thermal performance. The proposed study focuses on two different OHP evaporator-condenser configurations with a change in adiabatic length. One of the challenges in OHP literature is the variety of experiment setups, (e.g. varying condenser, evaporator, and adiabatic lengths, heat input) which makes it difficult to compare results directly. To quantitatively compare thermal performance, a (or a set of) standardized metric(s) must be used. Therefore, we define a standardizing metric to quantify OHP’s ability to conduct heat that can be used across multiple experiments and setups. This study was conducted on an additively manufactured flat-plate AlSi10Mg OHP which has a channel diameter of 1.4 mm, 22 turns, and a plate size of 200 mm x 90 mm x 4 mm. Both the evaporator and condenser are rectangles with contact areas of 46 mm by 78 mm. The OHP was charged with R134a with a 45% filling ratio. In these tests, the location of the evaporator was fixed, while the placement of the condenser is varied such that the adiabatic length ranged between 4 mm to 94 mm. The condenser temperature was maintained between 10℃ to 25℃ and the heat input ranged between 20W to 50W. The results showed that a reduction in adiabatic length increased the thermal conductivity. To quantify the thermal performance, the thermal conductivities of an empty and charged OHP were determined for each placement configuration, then a thermal conductivity ratio of charged and empty OHP can be determined to quantify the improved performance. For an adiabatic length of 4 mm, we observed that the OHP’s ability to conduct heat was 40 times more effective when compared to an empty OHP. It was also observed that the OHP’s ability to conduct heat was 9 times more effective when compared to an empty OHP for an adiabatic length of 94 mm. We conclude that the area outside the evaporator-condenser that is neither heated nor cooled, called the reservoir, significantly influenced the thermal performance. The OHP with a shorter adiabatic length increased the reservoir in the condenser region which showed higher thermal performance. In this placement configuration, the reservoir essentially acted as an extension of the condenser. This is a favorable condition where the subcooled liquid slugs re-enter the condenser section which affects heat transfer drastically. Thus, the placement of the evaporator-condenser will influence OHP performance due to the reservoir and warrants future work.
DOI: 10.48577/jpl.pu19cp
title: Phase behavior of the ternary H2O-THF-NH3 system under cryogenic conditions: Implications for the destabilization of clathrate hydrates on Titan

description: No abstract available.
DOI: 10.34943/70ad691b-57e5-4443-a50a-31d1f89c42b9
title: Endeavour South Current Meter Deployed 2012-06-14

description: The Nortek Aquadopp Current Meter A3L4883 AQD3082 was deployed on 2012-06-14 at Endeavour South. This south section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Current Meter. Acoustic Current Meters (ACM) measure current speed and direction, using the Doppler Effect. Aquadopp current metres have a sensor head that contains 3 acoustic transducers, a tilt sensor, a temperature sensor and a pressure sensor. The instrument transmits a short pulse of sound, and then listens to its echo to measure the change in pitch or frequency. The change in pitch can determine the velocity of the current. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.7859981
title: Small molecules adsorption energy prediction

description: This is a dataset, which includes small molecules adsorption energies on various substrates.
DOI: 10.5281/zenodo.7859980
title: Small molecules adsorption energy prediction

description: This is a dataset, which includes small molecules adsorption energies on various substrates.
DOI: 10.6084/m9.figshare.22687759
title: Eggnog mapper output

description: Output of eggnog mapper functional annotations
DOI: 10.6084/m9.figshare.22687846
title: Final Halloween gene matrix used to generate gene tree

description: Final Halloween gene matrix used to generate gene tree
DOI: 10.6084/m9.figshare.22687846.v1
title: Final Halloween gene matrix used to generate gene tree

description: Final Halloween gene matrix used to generate gene tree
DOI: 10.5281/zenodo.6499899
title: Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors

description: Data required to reproduce the results/figures of the "<strong>Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors</strong>" project.
description: Please download this and put it in the folder "SCPO_submission" downloaded from "https://github.com/ruppinlab/SCPO_submission".
DOI: 10.5281/zenodo.6499898
title: Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors

description: Data required to reproduce the results/figures of the "<strong>Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors</strong>" project.
description: Please download this and put it in the folder "SCPO_submission" downloaded from "https://github.com/ruppinlab/SCPO_submission".
DOI: 10.5281/zenodo.6513938
title: Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors

description: Data required to reproduce the results/figures of the "<strong>Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors</strong>" project.
description: Please download this and put it in the folder "SCPO_submission" downloaded from "https://github.com/ruppinlab/SCPO_submission".
DOI: 10.5281/zenodo.6528981
title: Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors

description: Data required to reproduce the results/figures of the "<strong>Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors</strong>" project.
description: Please download this and put it in the folder "SCPO_submission" downloaded from "https://github.com/ruppinlab/SCPO_submission".
DOI: 10.5281/zenodo.6528990
title: Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors

description: Data required to reproduce the results/figures of the "<strong>Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors</strong>" project.
description: Please download this and put it in the folder "SCPO_submission" downloaded from "https://github.com/ruppinlab/SCPO_submission".
DOI: 10.5281/zenodo.7860559
title: Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors

description: Data required to reproduce the results/figures of the "<strong>Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors</strong>" project.
description: Please download this and put it in the folder "SCPO_submission" downloaded from "https://github.com/ruppinlab/SCPO_submission".
DOI: 10.6084/m9.figshare.22687750
title: Conserved motifs in shadow gene

description: Conserved motifs in shadow gene across representative ecdysozoan taxa
DOI: 10.6084/m9.figshare.22687702
title: Genome annotation and proteins supported by external evidence

description: Genome annotation and proteins filtered for external evidence
DOI: 10.5281/zenodo.6847391
title: Vsv Model across the Juan de Fuca and Gorda plates

description: RayleighPhv.nc: Rayleigh wave phase velocity dataset. VsvModel.nc: A 3D Vs model across the Juan de Fuca and Gorda plates, including both Vsv and thermal age. Updated on Apr. 24, 2023: fix mistakes when exporting thermal age model.
DOI: 10.5281/zenodo.6847392
title: Cascadia Vs Model (Oceanic part)

description: model3D_smooth.npz: A 3D Vs model in the oceanic part of the Cascadia (the Juan de Fuca and Gorda plate). ani_tomo_A0_finalInv.npz: The phase velocity dataset which the inversion begin with.
DOI: 10.5281/zenodo.7549655
title: Vsv Model across the Juan de Fuca and Gorda plates

description: RayleighPhv.nc: Rayleigh wave phase velocity dataset. VsvModel.nc: A 3D Vs model across the Juan de Fuca and Gorda plates, including both Vsv and thermal age.
DOI: 10.5281/zenodo.7860558
title: Vsv Model across the Juan de Fuca and Gorda plates

description: RayleighPhv.nc: Rayleigh wave phase velocity dataset. VsvModel.nc: A 3D Vs model across the Juan de Fuca and Gorda plates, including both Vsv and thermal age. Updated on Apr. 24, 2023: fix mistakes when exporting thermal age model.
DOI: 10.6084/m9.figshare.22687681
title: Orthofinder comparative genomics statistics

description: Output from Orthofinder, comparative genomics statistics.
DOI: 10.34943/bb44310c-7869-4111-b26f-87b7d688d3b4
title: Endeavour South Current Meter Deployed 2012-06-14

description: The Nortek Aquadopp Current Meter A3L4882 AQD3105 was deployed on 2012-06-14 at Endeavour South. This south section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Current Meter. Acoustic Current Meters (ACM) measure current speed and direction, using the Doppler Effect. Aquadopp current metres have a sensor head that contains 3 acoustic transducers, a tilt sensor, a temperature sensor and a pressure sensor. The instrument transmits a short pulse of sound, and then listens to its echo to measure the change in pitch or frequency. The change in pitch can determine the velocity of the current. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/47b5fbf1-4d9e-476e-82fe-5c985952f382
title: Endeavour North Current Meter Deployed 2021-08-27

description: The Nortek Aquadopp Current Meter A3L4882 AQD3105 was deployed on 2021-08-27 at Endeavour North. This north section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Current Meter. Acoustic Current Meters (ACM) measure current speed and direction, using the Doppler Effect. Aquadopp current metres have a sensor head that contains 3 acoustic transducers, a tilt sensor, a temperature sensor and a pressure sensor. The instrument transmits a short pulse of sound, and then listens to its echo to measure the change in pitch or frequency. The change in pitch can determine the velocity of the current. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.7860566
title: OurGroupData

description: Tweezer Data
DOI: 10.5281/zenodo.7860565
title: OurGroupData

description: Tweezer Data
DOI: 10.6084/m9.figshare.22661464
title: Izquierdo et al., 2023 -Behavioral data-.xlsx

description: Copulation duration in <em>G. neuquena </em>(Araneae:Pholcidae) based on the status of the female (virgin vs. copulated). Presence of sperm emergence in both groups of females.
DOI: 10.6084/m9.figshare.22661464.v1
title: Izquierdo et al., 2023 -Behavioral data-.xlsx

description: Copulation duration in <em>G. neuquena </em>(Araneae:Pholcidae) based on the status of the female (virgin vs. copulated). Presence of sperm emergence in both groups of females.
DOI: 10.34740/kaggle/dsv/5512306
title: #ChatGPT 1000 Daily 🐦 Tweets
DOI: 10.5281/zenodo.7860446
title: RGD1-CNHO Database

description: This reaction database is generated along with the manuscript "Comprehensive exploration of graphically defined reaction spaces". The csv file named as RGD1CHNO_smiles.csv contains atom-mapped SMILES, activation energies, and enthalpies of formation for each reaction. The HDF5 file contains the geometry information and can be iterated by a python script from Github (https://github.com/zhaoqy1996/RGD1/parse_data.py). An additional csv file (DFT_reaction_info.csv) is supplied to reproduce figures in the article. We provided an UPDATED VERSION of RGD1 dataset in Ari 24, 2023. The initially posted version of the dataset reported swapped activation energies for ~24% of the forward/reverse reactions which were all corrected in this updated version.
DOI: 10.5281/zenodo.7860445
title: RGD1-CNHO Database

description: This reaction database is generated along with the manuscript "Comprehensive exploration of graphically defined reaction spaces". The csv file named as RGD1CHNO_smiles.csv contains atom-mapped SMILES, activation energies, and enthalpies of formation for each reaction. The HDF5 file contains the geometry information and can be iterated by a python script from Github (https://github.com/zhaoqy1996/RGD1/parse_data.py). An additional csv file (DFT_reaction_info.csv) is supplied to reproduce figures in the article. We provided an UPDATED VERSION of RGD1 dataset in Ari 24, 2023. The initially posted version of the dataset reported swapped activation energies for ~24% of the forward/reverse reactions which were all corrected in this updated version.
DOI: 10.6075/j0rn3825
title: Data from: North American Monsoon Impacts Southern California’s Coastal Low Clouds

description: This collection contains data from "North American Monsoon Impacts Southern California’s Coastal Low Clouds" (Clemesha et al. 2023). Data files include: satellite-derived Coastal Low Cloudiness (CLC) for May - September 1996 - 2020, seasonal cycle fit of CLC used to create daily anomalies, San Diego airport cloud cover, precipitable water content from 850 to 300 hPa from observations in southern and northern California, a previously published single column model radiative scheme with input and outputs files used in this study.
DOI: 10.25345/c5474722f
title: MassIVE MSV000091790 - Proteomic quantification of native and ECM-enriched mouse ovaries reveals an age-dependent fibro-inflammatory signature
title: The ovarian microenvironment becomes fibrotic and stiff with age due in part to increased stromal collagen and decreased hyaluronan. However, the extracellular matrix (ECM) is a complex network of hundreds of proteins, glycoproteins and glycans which are highly tissue specific and undergo pronounced changes with age. We used a label-free quantitative proteomic methodology to obtain an unbiased and comprehensive protein profile of age-associated alterations of the mammalian ovarian proteome. We analyzed ovaries from reproductively young and old mice using both native and ECM-enriched tissues to specifically interrogate the extracellular matrix. We optimized and validated conditions to enrich for the ECM prior to proteomic analysis and determined that treatment of ovaries with 0.1% SDS for 12.5 hours efficiently removed nuclear material, while maintaining the integrity of the ECM. Following the analysis by data-independent acquisition (DIA), both native and ECM-enriched samples clustered separately based on age, indicating that ovaries from reproductively young and old mice feature clearly distinct proteomic signatures. We identified a total of 4,721 proteins and 383 proteins that are significantly-altered with advanced reproductive age, including key ECM proteins. In addition to ECM proteins, immunoglobulins, proteins that regulate metal homeostasis, and tumor suppressors were highly upregulated with age, whereas downregulated proteins were consistent with the age-dependent decline in fertility. Pathways regulating genomic instability and proteostasis were downregulated with age. Biological processes associated with immune function and ECM remodeling were upregulated with age. These findings provide evidence from a proteomic perspective that the aging ovary provides a fibroinflammatory milieu, and our study suggests target proteins which may drive these age-associated phenotypes for future investigation.
DOI: 10.5281/zenodo.7860604
title: game_es_9th_generation_catalog

description: This dataset, created for educational purposes, contains video games related information extracted from a Spanish company called GAME.
description: Under cc-by-nc-sa-4.0 license.
DOI: 10.5281/zenodo.7860603
title: game_es_9th_generation_catalog

description: This dataset, created for educational purposes, contains video games related information extracted from a Spanish company called GAME.
description: Under cc-by-nc-sa-4.0 license.
DOI: 10.6084/m9.figshare.22650244.v1
title: Indonesia contraceptive use 2021

description: Dataset consists of variables related to contraceptive use and health insurance among more than 38 millions couples in Indonesia. The data was retrieved from the Indonesian Family Census 2021.<br>
DOI: 10.5517/ccdc.csd.cc2bww59
title: CCDC 2171741: Experimental Crystal Structure Determination

description: Related Article: Jonathan W. Attard, Julia R. Noel, Yong Guan, Anita E. Mattson|2023|Org.Lett.|25|2450|doi:10.1021/acs.orglett.3c00612
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.cc2c11l2
title: CCDC 2175753: Experimental Crystal Structure Determination

description: Related Article: Shaik Sultana, Godugu Kumar, Loka Subramanyam Sarma, Vemula Venkatramu, Nallagondu Chinna Gangi Reddy|2023|Eur.J.Org.Chem.|26|e202300032|doi:10.1002/ejoc.202300032
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.cc2c4xn3
title: CCDC 2179475: Experimental Crystal Structure Determination

description: Related Article: Gourishetty Srikanth, Anil Ravi, Anusha Sebastian, Jobi Joseph, Monther A. Khanfar, Raed Abdallah Al-Qawasmeh, Imad A. Abu-Yousef, Amin F. Majdalawieh, Taleb H. Al-Tel|2023|Eur.J.Org.Chem.|26|e202201354|doi:10.1002/ejoc.202201354
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.cc2c4xp4
title: CCDC 2179476: Experimental Crystal Structure Determination

description: Related Article: Gourishetty Srikanth, Anil Ravi, Anusha Sebastian, Jobi Joseph, Monther A. Khanfar, Raed Abdallah Al-Qawasmeh, Imad A. Abu-Yousef, Amin F. Majdalawieh, Taleb H. Al-Tel|2023|Eur.J.Org.Chem.|26|e202201354|doi:10.1002/ejoc.202201354
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.cc2cgy60
title: CCDC 2189102: Experimental Crystal Structure Determination

description: Related Article: Dhananjay Yadav, Maya Shankar Singh|2023|Eur.J.Org.Chem.|26|e202201335|doi:10.1002/ejoc.202201335
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.cc2cwg0r
title: CCDC 2201124: Experimental Crystal Structure Determination

description: Related Article: Rong Feng, Jie Ma, Zhi‐Bing Dong|2023|Eur.J.Org.Chem.|26|e202201145|doi:10.1002/ejoc.202201145
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.