cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10041203
title: skDER Representative Genomes for Select Bacterial Taxa

description: Genomes belonging to a single genus or order were gathered using a loose search of taxonomic classifications in GTDB R214. By loose we required the string 'g__{GENUSNAME}' to be found in taxonomic info column by GTDB, thus allowing gathering of associated genera (which GTDB suggests are different, but literature/domain experts have yet to rename).
Genomes belonging to a taxa were dereplicated using skDER (v1.0.7) in "greedy" clustering mode with default values for parameters (99% ANI cutoff, 90% AF cutoff).
Overview of Files:
- The 'Genome_Dereplication_Overview.tsv' contains details of all the genomes considered as potential representatives for each taxonomic group and their GTDB R214 taxonomic classifications.
- 18 _Clustering_Information.txt files which contains the relationship information of non-representative genomes to their nearest representative genome. Generated using the `-n` argument in skder v.1.0.7.  
- 18 tar.gz compressed directories are provided. Each compressed directory features representative genomes in FASTA format determined for a particular taxon using skDER with greedy clustering and default cutoffs. Genome assemblies are renamed to feature both the GTDB taxonomic classification and the GCA identifier.        - Acinetobacter - 1,643 rep genomes (17.8% of 9,221 total genomes considered)        - Bacillales - 3,150 rep genomes (35.9% of 8,766 total genomes considered)        - Corynebacterium - 726 rep genomes (43.0% of 1,688 total genomes considered)        - Cutibacterium - 27 rep genomes (5.4% of 502 total genomes considered)        - Enterobacter - 878 rep genomes (19.9% of 4,408 total genomes considered)        - Enterococcus - 937 rep genomes (14.6% of 6,426 total genomes considered)        - Escherichia - 2,436 rep genomes (7.1% of 34,358 total genomes considered)        - Klebsiella - 1,022 rep genomes (5.6% of 18,145 total genomes considered)        - Lactobacillus - 541 rep genomes (30.9% of 1,747 total genomes considered)        - Listeria - 353 rep genomes (6.9% of 5,062 total genomes considered)        - Micromonospora - 211 rep genomes (73.3% of 288 total genomes considered)        - Mycobacterium - 744 rep genomes (6.9% of 10,657 total genomes considered)        - Neisseria - 414 rep genomes (12.8% of 3,235 total genomes considered)        - Pseudomonas - 2,666 rep genomes (18.9% of 14,066 total genomes considered)        - Salmonella - 308 rep genomes (2.2% of 14,109 total genomes considered)        - Staphylococcus - 496 rep genomes (2.5% of 19,627 total genomes considered)        - Streptococcus - 2,452 rep genomes (13.3% of 18,492 total genomes considered)        - Streptomyces - 1,555 rep genomes (57.7% of 2,697 total genomes considered)
DOI: 10.5281/zenodo.6916352
title: Supporting Information for Article "MarINvaders: A web toolkit of marine species for use in environmental assessments"

description: An Excel file with the overview of number of species per ecoregion and classes of alien species is available online. The code for querying and harmonizing the databases was published as a separate package (see Lonka et al. (2021))and available with an open source (GPL v3) license at https://gitlab.com/marinvaders/marinvaders.
DOI: 10.5281/zenodo.7091053
title: Data from: Biological clocks as age estimation markers in animals: a review and meta-analysis

description: Complete dataset of Methylation and Telomere studies searched, retrieved, analysed, extracted and compared in the review and meta-analysis "<strong>Biological clocks as age estimation markers in animals: a review and meta-analysis".</strong>
DOI: 10.5281/zenodo.7506365
title: Small-angle Scattering Data Analysis Round Robin dataset: original for participants.

description: These are four datasets that were made available to the participants of the Small-angle Scattering data analysis round robin. The intent was to find out how comparable results from different researchers are, who analyse exactly the same processed, corrected dataset. In this repository, there are:<br> 1) a PDF document with more details for the study,<br> 2) the datasets for people to try and fit<br> 3) an Excel spreadsheet to document the results. Datasets 1 and 2 were modified from: Deumer, Jerome, & Gollwitzer, Christian. (2022). npSize_SAXS_data_PTB (Version 5) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5886834 Datasets 3 and 4 were collected in-house on the MOUSE instrument, detailed here
DOI: 10.5281/zenodo.7509710
title: Small-angle Scattering Data Analysis Round Robin: anonymized results, figures and Jupyter notebook

description: The intent of this round robin was to find out how comparable results from different researchers are, who analyse exactly the same processed, corrected dataset. This zip file contains the anonymized results and the jupyter notebook used to do the data processing, analysis and visualisation. Additionally, TEM images of the samples are included.
DOI: 10.5281/zenodo.8300495
title: Dataset from structural health monitoring of a steel bridge in Sweden

description: The dataset consists of sensor data from the Vänersborg Bridge in Sweden, comprising 64 bridge opening events registered as accelerations, strains, inclinations, and weather conditions. Data from before, during, and after a verified fracture are provided. The sample of raw data captured the same bridge opening event multiple times over the monitoring duration. Classifying data before and after damage enables the development and verification of routines for novelty detection.
description: More data can be shared upon request. Contact IoTBridge AB, https://www.iotbridge.se/
DOI: 10.5281/zenodo.8321818
title: Lightning-Classification-Dataset-8000

description: 8000 waveforms with pictures including RS, PB, NB and IC. 2000 for each. Stored in .pkl format. Please use pickle in python to use it. Each row has 10000 datapoints and 1 label type.
DOI: 10.5439/1647300
title: Large-scale continuous forcing data for SGP based on RUC analysis 200401-201204

description: The ARM large-scale forcing data from the constrained variational analysis (VARANAL) version 2
DOI: 10.5441/002/edbt.2021.03
title: DomainNet: Homograph Detection for Data Lake Disambiguation
DOI: 10.6084/m9.figshare.24312826
title: Appendix 1 Oct 2023

description: Appendix 1 Oct 2023
DOI: 10.6084/m9.figshare.24312832
title: Table 1 Oct 2023

description: Table 1 Oct 2023
DOI: 10.6084/m9.figshare.24312835
title: Appendix 2 Oct 2023

description: Appendix 2 Oct 2023
DOI: 10.6084/m9.figshare.24312838
title: Table 2 Oct 2023

description: Table 2 Oct 2023
DOI: 10.7942/c2rp43
title: P16N/2 2015
DOI: 10.1285/i24212113v7i1p13
title: Sensemaking processes and social representations of COVID-19 in multi-voiced public discourse: Illustrative examples of institutional and media communication in ten countries

description: The role of communication in a pandemic emergency is crucial because it contributes to the spread of collective interpretations of the crisis that drive community responses. Based on the social representations' theory approach, and specifically relying on the notions of collective symbolic coping and polemical social representations, the study presents 10 country-based case studies of public communication with the aim of exploring the social representations of COVID-19 during the first wave of the outbreak. Multiple communication sources from 10 countries in 5 geo-cultural contexts (Europe, North America, Latin America, Asia, Africa) were selected and analyzed: institutional websites; international/national/local newspapers and news channels; national/international press agencies; and social media platforms. Results highlighted the prevalence of multivocality and polemical social representations, along with outgroup blaming and stigmatization processes, the use of military and naturalistic metaphors, antinomies, and discourse polarization. Implications for effective public communication in crisis management are discussed.
DOI: 10.5281/zenodo.4889279
title: CWTS Leiden Ranking 2021

description: This data set provides the statistics made available in the 2021 edition of the CWTS Leiden Ranking. The Leiden Ranking 2021 is a bibliometric ranking of 1225 major universities worldwide. The ranking provides statistics on scientific impact, collaboration, open access publishing, and gender diversity. The ranking is based on bibliographic data from the Web of Science database produced by Clarivate Analytics.
DOI: 10.5281/zenodo.5644202
title: Annotated data of simultaneous broadband radio and optical emission of meteor trains imaged by LOFAR / AARTFAAC and CAMS

description: This data set contains simultaneous 30 - 60 MHz LOFAR / AARTFAAC12 radio observations and CAMS low-light video observations of +4 to -10 magnitude meteors at the peak of the Perseid meteor shower on August 12/13, 2020. 204 meteor trains were imaged in both the radio and optical domain.
DOI: 10.6084/m9.figshare.24634788
title: <b>Can tea saponin be used to sustainably control the red import fire ant </b><b>Solenopsis invicta</b><b> (Hymenoptera: Formicidae)?</b>

description: Data of the submitted manuscript: <b>Can tea saponin be used to sustainably control the red import fire ant </b><b>Solenopsis invicta</b><b> (Hymenoptera: Formicidae)?</b>
DOI: 10.48577/jpl.fcrzjq
title: Numerical Simulation and Influence of Non-Gaussian Vibrations on the Design of Flexible Robotic Systems

description: Random vibration excitation is a widely used method to obtain dynamic properties of structures and is commonly applied as a loading condition for aerospace structures. Random vibration spectra are defined most commonly through a power spectral density (PSD) curve which provides the magnitude of the excitation as a function of frequency. A typical analysis for the vibrational response of structures designed with aerospace applications is the application of a predefined PSD curve representing vibrations from launch, landing, or operation. Shakerbased random excitation and traditional finite element analysis techniques employ random vibrations assuming a Gaussian distribution of excitation impulse magnitudes. In reality, while some vibrational environments may be adequately described by Gaussian signals, many true excitations have non-Gaussian properties. A non-Gaussian signal is one that has a skewness or kurtosis not aligned with typical values of a Gaussian distribution. Non-Gaussian random vibrations contain vibrational impulses magnitudes larger than those found in a Gaussian signal and could damage a system if not considered. Flexible systems, notably flexible robotic systems, often manifest dynamic nonlinearities which may produce magnified responses to these impulses. This paper examines two case studies of robotic rover chassis architectures: NASA JPL’s Pop-Up Flat Folding Explorer Robot (PUFFER) and Cooperative Autonomous Distributed Robotic Explorer (CADRE). PUFFER has a flexible architecture and CADRE has a rigid chassis. The influence of non-Gaussian random vibrations on each system is examined and results are presented to aid in the design of flexible robotic systems. The results indicate that Non-Gaussian excitation should be considered in the design of flexible robotic systems and that a typical enveloping procedure, such as a 3dB increase of the input PSD for a Gaussian random vibe excitation, did not bound the response of PUFFER subjected to a non-Gaussian excitation.
DOI: 10.48577/jpl.bjhzu1
title: The High Energy X-ray Probe (HEX-P): Probing Accretion onto Stellar Mass Black Holes

description: Accretion is a universal astrophysical process that plays a key role in cosmic history, from the epoch of reionization to galaxy and stellar formation and evolution. Accreting stellar-mass black holes in X-ray binaries are one of the best laboratories to study the accretion process and probe strong gravity---and most importantly, to measure the angular momentum, or spin, of black holes, and its role as a powering mechanism for relativistic astrophysical phenomena. Comprehensive characterization of the disk-corona system of accreting black holes, and their co-evolution, is fundamental to measurements of black hole spin. Here, we use simulated data to demonstrate how key unanswered questions in the study of accreting stellar-mass black holes will be addressed by the High Energy X-ray Probe (HEX-P). HEX-P is a probe-class mission concept that will combine high spatial resolution X-ray imaging and broad spectral coverage (0.2-80 keV) with a sensitivity superior to current facilities (including XMM-Newton and NuSTAR) to enable revolutionary new insights into a variety of important astrophysical problems. We illustrate the capability of HEX-P to: 1) measure the evolving structures of black hole binary accretion flows down to low (&lt;0.1%) Eddington-scaled luminosities via detailed X-ray reflection spectroscopy; 2) provide unprecedented spectral observations of the coronal plasma, probing its elusive geometry and energetics; 3) perform detailed broadband studies of stellar mass black holes in nearby galaxies, thus expanding the repertoire of sources we can use to study accretion physics and determine the fundamental nature of black holes; and 4) act as a complementary observatory to a range of future ground and space-based astronomical observatories, thus providing key spectral measurements of the multi-component emission from the inner accretion flows of black hole X-ray binaries.
DOI: 10.48577/jpl.nmsccg
title: Correlation Study of SWOT Payload Acoustic Prediction and Test

description: Spacecraft and its payload structures are subject to severe acoustic loading during launch and ascension through the atmosphere. These harsh acoustic environments can potentially damage mission critical components and jeopardize mission success. It is well-known that high-quality vibro-acoustic predictions are vital to achieve the optimal spacecraft and payload structure designs with reduced weight. It is also widely recognized that the well-established knowledge base of damping loss factor of the structure is one of the key elements to accurately characterize and predict the structural dynamic responses under acoustic excitations. This paper focuses on assessing the influences of damping loss factor to the correlation errors between the coupled finite element/boundary element method vibro-acoustic analysis predictions and acoustic reverberation chamber test data of the Surface Water and Ocean Topography Mission Payload. The current work also aims at addressing the identification of the major sources of discrepancies, and exploration of development on the improved modal damping distribution for vibro-acoustic analysis
DOI: 10.48577/jpl.xkb6st
title: Expanding DSN Capabilities for Future Missions

description: No abstract available.
DOI: 10.48577/jpl.lqv24t
title: The Harvest Experiment: New Beginnings

description: No abstract available.
DOI: 10.48577/jpl.8msawx
title: Variations with Season and Geomagnetic Activity seen in Space-Time Correlated Enhancements of Ionospheric TEC taken from JPL GIMs

description: No abstract available.
DOI: 10.48577/jpl.axjbbq
title: The Promises of a Future IR/Optical/UV (“IROUV”) Flagship Mission for Rocky Exoplanet Science

description: No abstract available.
DOI: 10.48577/jpl.8boxeu
title: Cold Operable Lunar Deployable Arm CLPS Survive the Night Workshop Presentation

description: No abstract available.
DOI: 10.48577/jpl.976laj
title: New Power Sources for Surviving the Lunar Night

description: No abstract available.
DOI: 10.48577/jpl.qqaudq
title: EnVision VenSAR Potential Use of Venus Facility Assets

description: No abstract available.
DOI: 10.48577/jpl.v8pkhk
title: Wide Temperature Battery Development for CADRE Lunar Rovers

description: No abstract available.
DOI: 10.48577/jpl.ejdq0f
title: Advanced Processing Applied on SHARAD Data for Geophysical Applications: from the CO2 Seasonal Monitoring to Subsurface Investigation

description: No abstract available.
DOI: 10.48577/jpl.f3upr1
title: Real-Time Modeling of Albedo Pressure on Spacecraft and Applications for Improving Trajectory Estimation and Earth’s Energy Imbalance Measurements

description: No abstract available.
DOI: 10.48577/jpl.wt5dds
title: Space Radiation Challenges for Future Deep Space Exploration: from Moon to Mars and beyond

description: No abstract available.
DOI: 10.48577/jpl.svjbk1
title: Computational Imaging: Chloroplasts to Tree Canopies

description: No abstract available.
DOI: 10.48577/jpl.pb0zqo
title: Thermally Sensitive ECOSTRESS Evapotranspiration Model Ensemble Evaluation and Development

description: No abstract available.
DOI: 10.48577/jpl.5x7oul
title: REMOTE SENSING OF EARTH AND BEYOND

description: No abstract available.
DOI: 10.48577/jpl.e3lmnj
title: Autonomy for Space Exploration

description: No abstract available.
DOI: 10.48577/jpl.5oaifw
title: The Search for Chemical Signs of Life Beyond Earth

description: No abstract available.
DOI: 10.34683/sr1897
title: StoneRounds Case: SR1897
title: Bardet Biedl Syndrome

description: StoneRounds Case SR1897 was diagnosed with Bardet Biedl Syndrome likely caused by mutations in the gene: BBS10.
DOI: 10.5281/zenodo.10207191
title: Global seed dormancy patterns are driven by macroclimate but not fire regime
title: Data used in the analysis (species distribution data and corresponding seed dormancy classes)

description: Seed dormancy maximizes plant recruitment in habitats with variation in environmental suitability for seedling establishment. Yet, we still lack a comprehensive synthesis of the macroecological drivers of nondormancy and the different classes of seed dormancy: physiological dormancy, morphophysiological dormancy and physical dormancy.
We examined current geographic patterns and environmental correlates of global seed dormancy variation. Combining the most updated data set on seed dormancy classes for > 10 000 species with > 4 million georeferenced species occurrences covering all of the world's biomes, we test how this distribution is driven by climate and fire regime.
Seed dormancy is prevalent in seasonally cold and dry climates. Physiological dormancy occurs in relatively dry climates with high temperature seasonality (e.g. temperate grasslands). Morphophysiological dormancy is more common in forest-dominated, cold biomes with comparatively high and evenly distributed precipitation. Physical dormancy is associated with dry climates with strong seasonal temperature and precipitation fluctuations (e.g. deserts and savannas). Nondormancy is associated with stable, warm and wetter climates (e.g. tropical rain forest). Pyroclimate had no significant effect on the distribution of seed dormancy.
The environmental drivers considered in this study had a comparatively low predictive power, suggesting that macroclimate is just one of several global drivers of seed dormancy.
DOI: 10.5281/zenodo.10207190
title: Global seed dormancy patterns are driven by macroclimate but not fire regime
title: Data used in the analysis (species distribution data and corresponding seed dormancy classes)

description: Seed dormancy maximizes plant recruitment in habitats with variation in environmental suitability for seedling establishment. Yet, we still lack a comprehensive synthesis of the macroecological drivers of nondormancy and the different classes of seed dormancy: physiological dormancy, morphophysiological dormancy and physical dormancy.
We examined current geographic patterns and environmental correlates of global seed dormancy variation. Combining the most updated data set on seed dormancy classes for > 10 000 species with > 4 million georeferenced species occurrences covering all of the world's biomes, we test how this distribution is driven by climate and fire regime.
Seed dormancy is prevalent in seasonally cold and dry climates. Physiological dormancy occurs in relatively dry climates with high temperature seasonality (e.g. temperate grasslands). Morphophysiological dormancy is more common in forest-dominated, cold biomes with comparatively high and evenly distributed precipitation. Physical dormancy is associated with dry climates with strong seasonal temperature and precipitation fluctuations (e.g. deserts and savannas). Nondormancy is associated with stable, warm and wetter climates (e.g. tropical rain forest). Pyroclimate had no significant effect on the distribution of seed dormancy.
The environmental drivers considered in this study had a comparatively low predictive power, suggesting that macroclimate is just one of several global drivers of seed dormancy.
DOI: 10.5281/zenodo.10207155
title: Dataset and Stata codes/commands for study titled "Electrocardiographic abnormalities in patients with sickle cell disease: a systematic review and meta-analysis"

description: This is the dataset and Stata .do file used to generate the results in the scientific article titled Electrocardiographic abnormalities in patients with sickle cell disease: a systematic review and meta-analysis.
The findings are reproducible using the Stata v. 18 MP.
DOI: 10.5281/zenodo.10207154
title: Dataset and Stata codes/commands for study titled "Electrocardiographic abnormalities in patients with sickle cell disease: a systematic review and meta-analysis"

description: This is the dataset and Stata .do file used to generate the results in the scientific article titled Electrocardiographic abnormalities in patients with sickle cell disease: a systematic review and meta-analysis.
The findings are reproducible using the Stata v. 18 MP.
DOI: 10.5281/zenodo.10207293
title: Static and Dynamic Model Calibration for Upper Thermosphere Determination (2023SW003810)

description: The dataset contains the background and static calibration models, associated with the figure data and routines.
DOI: 10.5281/zenodo.10207294
title: Static and Dynamic Model Calibration for Upper Thermosphere Determination (2023SW003810)

description: The dataset contains the background and static calibration models, associated with the figure data and routines.
DOI: 10.6084/m9.figshare.24634797
title: Global trends in research on endothelial cells and sepsis between 2002 and 2022: A systematic bibliometric analysis

description: The dataset uploaded here is the primary search data, and these data can be imported into VOSviewer or Citespace software for further analysis. The Web of Science Core Collection (WoSCC) database was initially searched on September 27, 2022, with an updated search performed on March 18, 2023. The search query was: TS= (endothelium* OR endothelial cell* OR ECs OR endothelia) AND TS= (sepsis OR septic shock OR endotoxemia OR severe sepsis OR SIRS OR systemic inflammatory response syndrome). The time frame for retrieval spanned from January 1, 2002, to December 31, 2022. The document type was restricted to "articles," and the search was confined to publications in English. Comprehensive data from the included publications, encompassing the year of publication, author, title, source, number of citations, abstract, address, affiliation, document type, keywords, and cited reference count, were systematically gathered from the WoSCC.