cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2022-12.2688480/2255122
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2688542/2255123
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2684267/2255124
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2686162/2255125
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2695553/2255126
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2684081/2255127
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2696008/2255128
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2683916/2255129
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2684351/2255130
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2686865/2255131
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2684990/2255132
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2684385/2255133
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2694806/2255134
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2686965/2255135
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2687628/2255136
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2694602/2255137
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2686799/2255138
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2696328/2255139
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2685934/2255140
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2686065/2255141
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2688862/2255142
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2684450/2255143
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2688544/2255144
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2683917/2255145
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2686021/2255146
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2696301/2255147
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2688888/2255148
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2687240/2255149
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2687564/2255150
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2695769/2255151
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2696051/2255152
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2696671/2255153
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2685505/2255154
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2685768/2255155
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2684261/2255156
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2686850/2255157
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2687226/2255158
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2687421/2255159
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2695155/2255160
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2685252/2255161
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2687053/2255162
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2687539/2255163
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2686181/2255164
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2688717/2255165
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2695054/2255166
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2683980/2255167
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2695206/2255168
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2696170/2255169
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2023-12.2973235/2255170
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2973091/2255171
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2973291/2255172
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2973371/2255173
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2973097/2255174
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2973071/2255175
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2973869/2255176
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2973189/2255177
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2973779/2255178
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2974220/2255179
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2974189/2255180
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2973215/2255181
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2973199/2255182
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2974017/2255183
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2974003/2255184
title: Data for EMSL Project 60886 from December 2023
DOI: 10.25582/data.2023-12.2973102/2255185
title: Data for EMSL Project 60886 from December 2023
DOI: 10.23719/1529950
title: The combined effects of temperature and fragment area on the demographic rates of an Afrotropical bird community over 34 years

description: Method to access data for "Montague H.C. Neate-Clegg, Matthew A. Etterson, Morgan W. Tingley, William D. Newmark,
The combined effects of temperature and fragment area on the demographic rates of an Afrotropical bird community over 34 years, Biological Conservation, Volume 282, 2023, 110051, ISSN 0006-3207, https://doi.org/10.1016/j.biocon.2023.110051."
DOI: 10.6084/m9.figshare.24901473
title: <b>Contact-separation-induced s</b><b>elf-recoverable mechanoluminescence of </b><b>CaF</b><sub><strong>2</strong></sub><b>:Tb</b><sup><strong>3+</strong></sup><b>/PDMS elastomer</b>

description: Centrosymmetric-oxide/polydimethylsiloxane elastomers emit ultra-strong non-pre-irradiation mechanoluminescence under stress and are considered one of the most ideal mechanoluminescence materials. However, previous centrosymmetric-oxide/polydimethylsiloxane elastomers show severe mechanoluminescence degradation under stretching, which limits their use in applications. This work presents an elastomer based on centrosymmetric fluoride CaF2:Tb3+ and polydimethylsiloxane, with mechanoluminescence that can self-recover after each stretching. Experimentation indicates that the self-recoverable mechanoluminescence of the CaF2:Tb3+/polydimethylsiloxane elastomer occurs essentially due to contact electrification arising from contact-separation interactions between the centrosymmetric phosphors and polydimethylsiloxane. Accordingly, a contact-separation cycle model of the phosphor-polydimethylsiloxane couple is established, and first-principles calculations are performed to model state energies in the contact-separation cycle. The results reveal that the fluoride-polydimethylsiloxane couple helps to induce contact electrification and maintain the contact-separation cycle at the interface, resulting in the self-recoverable mechanoluminescence of the CaF2:Tb3+/polydimethylsiloxane elastomer. Therefore, it would be a good strategy to develop self-recoverable mechanoluminescence elastomers based on centrosymmetric fluoride phosphors and polydimethylsiloxane.
DOI: 10.5517/ccdc.csd.cc2h8gz7
title: CCDC 2302059: Experimental Crystal Structure Determination

description: Related Article: Huizhe Han, Vladimir N. Kovtonyuk, Yurii V. Gatilov, Rodion V. Andreev, Andrey A. Nefedov|2024|J.Fluorine Chem.|273|110235|doi:10.1016/j.jfluchem.2023.110235
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.cc2h8h09
title: CCDC 2302060: Experimental Crystal Structure Determination

description: Related Article: Huizhe Han, Vladimir N. Kovtonyuk, Yurii V. Gatilov, Rodion V. Andreev, Andrey A. Nefedov|2024|J.Fluorine Chem.|273|110235|doi:10.1016/j.jfluchem.2023.110235
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.cc2h8h1b
title: CCDC 2302061: Experimental Crystal Structure Determination

description: Related Article: Huizhe Han, Vladimir N. Kovtonyuk, Yurii V. Gatilov, Rodion V. Andreev, Andrey A. Nefedov|2024|J.Fluorine Chem.|273|110235|doi:10.1016/j.jfluchem.2023.110235
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.cc2h8h2c
title: CCDC 2302062: Experimental Crystal Structure Determination

description: Related Article: Huizhe Han, Vladimir N. Kovtonyuk, Yurii V. Gatilov, Rodion V. Andreev, Andrey A. Nefedov|2024|J.Fluorine Chem.|273|110235|doi:10.1016/j.jfluchem.2023.110235
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24891966
title: workflow_results

description: Mutton industry plays an important role in Xinjiang animal husbandry in China, and Duolang Sheep is a widely distributed mutton sheep breed in Xinjiang with many advantageous traits including tolerance to rough feed and high meat quality. Rumen microbiota has been associated with various production phenotypes in livestock industry, but little is known about the composition of ruminal microbiota of Duolang Sheep. This study aims to compare characteristics of rumen bacterial community of Duolang Sheep and Hu Sheep using 16s RNA sequencing technique. Ruminal fluid samples were obtained via rumen cannula from 12 healthy Duolang Sheep and 12 healthy Hu Sheep under the same feeding and management protocol. The results showed that the relative abundance of Firmicutes (P&lt;0.01), Oscillospiraceae (P&lt;0.05), UCG-011 (P&lt;0.01), Christensenellaceae (P&lt;0.05), F082 (P&lt;0.05), Ruminococcaceae (P&lt;0.05), NK4A214 group (P&lt;0.05), Christensenellaceae R7 group (P&lt;0.01) and Ruminococcus (P&lt;0.05) was significantly higher in Duolang Sheep, while the rumen of Hu Sheep contained significantly higher level of Bacteroidetes (P&lt;0.05), Proteobacteria (P&lt;0.05), Patescibacteria (P&lt;0.05), Prevotellaceae (P&lt;0.05), and Prevotella (P&lt;0.05). Lower level of ruminal bacterial diversity was detected in Duolang Sheep represented by difference in Simpson Index (P&lt;0.01). In addition, principal coordinate analysis revealed significant dissimilarity (P&lt;0.01) between the rumen microbiota of the two breeds. The relative abundance of phylum Firmicutes and associated bacterial taxa in Duolang Sheep may be related to its higher level of feed efficiency and meat quality.
DOI: 10.6084/m9.figshare.24901500
title: <b>Applying the Community of Practice Theory in Medical Education through Electronic Medical Record Systems for Transforming Medical Education</b>

description: User Experience questionnaire results
DOI: 10.6084/m9.figshare.24901500.v1
title: <b>Applying the Community of Practice Theory in Medical Education through Electronic Medical Record Systems for Transforming Medical Education</b>

description: User Experience questionnaire results
DOI: 10.6084/m9.figshare.24901458
title: DATASET and DOFILE

description: This dataset originates from CMGPD-LN as well as climate shock data, modern school data, and late Qing dynasty railway data collected by the author from historical records.
DOI: 10.6084/m9.figshare.24901458.v1
title: DATASET and DOFILE

description: This dataset originates from CMGPD-LN as well as climate shock data, modern school data, and late Qing dynasty railway data collected by the author from historical records.
DOI: 10.34740/kaggle/dsv/7270920
title: AutoXGB
DOI: 10.34740/kaggle/dsv/7270921
title: OnlineFree
DOI: 10.34740/kaggle/dsv/7270926
title: Egypt Gold Prices | Daily Updated
DOI: 10.5519/qd.7wetmsis
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9 records)
DOI: 10.3886/e196121
title: Replication package for "Co-location, good, bad or both: How do new entries of discount variety stores affect local grocery businesses?", Journal of the European Economic Association, 2023

description: Replication package for "Co-location, good, bad or both: How do new entries of discount variety stores affect local grocery businesses?" by Evensen, Steen and Ulsaker.<br><br>Published in Journal of the European Economic Association<br>https://doi.org/10.1093/jeea/jvad074<br>
DOI: 10.3886/e196121v1
title: Replication package for "Co-location, good, bad or both: How do new entries of discount variety stores affect local grocery businesses?"

description: Replication package for "Co-location, good, bad or both: How do new entries of discount variety stores affect local grocery businesses?" by Evensen, Steen and Ulsaker.<br><br>Published in Journal of the European Economic Association<br>https://doi.org/10.1093/jeea/jvad074<br>
DOI: 10.3886/e196121v2
title: Replication package for Evensen, Steen, and Ulsaker, "Co-location, good, bad or both: How do new entries of discount variety stores affect local grocery businesses?"

description: Replication package for "Co-location, good, bad or both: How do new entries of discount variety stores affect local grocery businesses?" by Evensen, Steen and Ulsaker.<br><br>Published in Journal of the European Economic Association<br>https://doi.org/10.1093/jeea/jvad074<br>
DOI: 10.3886/e196121v3
title: Replication package for "Co-location, good, bad or both: How do new entries of discount variety stores affect local grocery businesses?", Journal of the European Economic Association, 2023

description: Replication package for "Co-location, good, bad or both: How do new entries of discount variety stores affect local grocery businesses?" by Evensen, Steen and Ulsaker.<br><br>Published in Journal of the European Economic Association<br>https://doi.org/10.1093/jeea/jvad074<br>
DOI: 10.48577/jpl.ukvsjk
title: ASCoT 3: Nonlinear Principal Components Analysis and Uncertainty Quantification in Early Concept Spacecraft Flight Software Cost Estimation

description: For mission planners and evaluators alike, value in cost models comes from a mean or median prediction, an understanding of the uncertainty on that prediction, and an understanding of model performance. Here we apply advanced statistical and machine learning methods to spacecraft flight software cost, effort, and SLOC estimation, and present the results in the latest version of the Analogy Software Cost Tool (ASCoT). We present in- and out-of-sample performance metrics for our models, each of which incorporate some amount of epistemic uncertainty. ASCoT, hosted on the One NASA Cost Engineering (ONCE) database via the Online NASA Space Estimation Tool (ONSET), was first showcased in 2016 as a number of analogy-based models and methods (kNN and Clustering) to support early project formulation. This ASCoT update improves upon the previous analogic methods by incorporating uncertainty in the data transformations. In particular, we use a Nonlinear Principal Components Analysis (NLPCA) to deal with ordinal data.
DOI: 10.48577/jpl.g3sc3x
title: Interstellar Object Uncertainty Evolution and Effect on Fast Flyby Delivery and Required Delta-V

description: Interstellar objects (ISOs) are small bodies that travel through our solar system from other star systems. Their presence in our solar system provides an opportunity to study the properties and origins of these objects, as well as the potential for cross-pollination of material between star systems. With current propulsion technology, rendezvous with these objects is likely infeasible, and thus the maximum science return results from a rapid response flyby and impactor. However, while trajectories to ISOs may be feasible, their high ephemeris uncertainties and high speed hyperbolic orbits present unique challenges to navigation. In this paper we assess this challenge by modeling versus time the ephemeris uncertainties of reachable synthetic ISOs, as measured from ground observatories and an approaching spacecraft. From these uncertainties we derive the final delivery accuracy of the spacecraft to the ISO, and required statistical delta-v for navigation.
DOI: 10.48577/jpl.m1e6tl
title: Analysis of DV and eclipse duration for Crank-Over-the-Top and petal rotations in Europa Clipper moon tours

description: Europa Clipper is the NASA’s next flagship mission; while in a Jupiter orbit, it will explore Europa with a moon tour that includes more than 45 Europa flybys. Crank-Over-the-Top and petal rotation are two specific sequences of flybys that mission designers utilize to develop moon tours to meet a high number of science and mission requirements. This paper analyses the ∆v cost of both techniques and how eclipse constraints drive the design.
DOI: 10.48577/jpl.uperpu
title: Optical Navigation for the DARŢ Mission

description: The DART mission launched on November 24th, 2021. The goal of this technology demonstration mission was to test orbital deflection through kinetic impact as a method of defense against potential asteroid or comet hazards. DART successfully impacted the 180-meter-diameter asteroid Dimorphos on September 26, 2022. The precise targeting needed to hit such a small body required optical navigation (Opnav) during the final month of the approach to provide information about the satellite-relative spacecraft position in directions perpendicular to the line-of-sight. In this paper we justify the need for Opnav, describe the Opnav image processing procedures and testing done in flight, and present results of the Opnav imaging campaign and the overall navigation of DART up to the moment of impact, where Opnav measurements with an accuracy of 0.05 pixels allowed a final navigation delivery within 1 km of Dimorphos, well within the requirement of 15 km.
DOI: 10.48577/jpl.qkqwit
title: Aleatoric and Epistemic Uncertainty Quantification in Bayesian Dirichlet Cost Rules of Thumb

description: The total cost of any project is the sum of the costs of its components. At NASA, these components are called the Work Breakdown Structure (WBS). There are eleven numbered elements at the top level of the NASA WBS, including 1: Project Management, 2: Systems Engineering, 4: Science/Technology, 5: Payload(s), and 6: Spacecraft. During the earliest phases of the project lifecycle, the costs of only one or a few of these components are well constrained, and the cost of the other elements must be estimated in order to submit a proposal with a reasonable chance of success. In the absence of time, money, or the level of detail to produce grassroots estimates, cost estimators look to past missions to gain insight; they have traditionally averaged the percentage allocations for each WBS breakdown from previously flown missions and used them to predict allocations for the new project that they are trying to cost. At IEEE 2022, we presented a novel costing method to project costs for future MIDEX class missions; rather than relying on average percentages, we proposed a Dirichlet-distributed model, which aptly describes the uncertainty of resource allocation by capturing the correlation between components. Here, we expand on our work from last year by (a) applying similar methodologies to more mission classes other than MIDEX (Flagship, New Frontiers, Discovery, SMEX, etc.), (b) imputing missing data records using expert knowledge of how costs are bookkept, (c) expanding our communication to align with up-to-date Uncertainty Quantification standards (categorizing uncertainty as aleatoric or epistemic), and (d) generating an interactive web tool easily accessible and usable by systems engineers.
DOI: 10.48577/jpl.cwciwb
title: Enabling Voyager 2 Science Data Return During Heliopause Transition with a Low Cost Portable SDR

description: This paper describes a fast-track, low-cost implementation effort that the NASA Deep Space Network (DSN) undertook to support Voyager 2 mission. The result significantly increased science data return for Voyager 2 mission’s heliopause detection. The Parkes Observatory 64-m antenna of the Australia Telescope National Facility (ATNF) was used between Nov. 2018 – Feb. 2019 to supplement the DSN tracking of Voyager 2. One key equipment that made such a support possible was the Record & Playback Assembly (RPA). It was based on a commercial software defined radio (SDR) that can be procured at low cost and quickly assembled to exhibit new capabilities with public- domain software libraries. The RPA at Parkes captured and recorded the received signal from Voyager. It then sent the digitized samples via the public internet to another RPA at Goldstone, California to be played back into a standard DSN receiver. Bridging the ATNF and DSN equipment across two continents, the RPA enabled data received at Parkes to flow into the Voyager mission operation system as if they came from another DSN antenna. In this paper, we will discuss the design of such a system. We will also describe the system operational concept, and a tight processing timeline necessary to keep up with new data collected daily. Some data management challenges associated with realizing a timely transfer of a large data set over the internet will be discussed. Other performance metrics such as the operating link margin at Parkes antenna, the system loss, the amount of data return to Voyager 2 mission, weather statistics and its impact on data return will be presented.
DOI: 10.48577/jpl.nljdoa
title: Assessing Effects Of Multi-Sensor Stereo Optical Imagery And Topography Resolutions On The Measurement Of Earthquake Surface Displacements, And The Modeling Of Source Processes

description: No abstract available.