cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.tnf8em
title: Assessment of Propellant Droplet Contamination Effects on the Europa Clipper Spacecraft

description: NASA's Europa Clipper spacecraft will carry nine science instruments to investigate whether Jupiter’s moon Europa has an environment that could support life. Europa Clipper is the largest spacecraft NASA has flown for a planetary mission. With solar arrays fully extended the spacecraft spans over 30 meters. At launch, nearly half of Europa Clipper’s mass is propellant which will be consumed during travel to Jupiter, inserting the spacecraft into orbit around Jupiter, and to perform almost 50 flybys of Europa. Europa Clipper’s propulsion system has 24 bipropellant engines which will process nearly 2750 kg of fuel and oxidizer during the course of the mission. During propulsion system operation liquid droplets of unburned fuel and oxidizer are expelled from the engines. An empirical bipropellant plume contamination model that was originally developed for International Space Station thrusters was applied to investigate droplet effects on the Europa Clipper spacecraft. Unburned propellant droplets can cause damage to spacecraft materials by chemical reactions and mechanical damage exhibited by pitting surfaces. Bounding estimates for propellant droplet fluxes to Europa Clipper surfaces were obtained using the empirical model. Based on material testing results, estimates of damage to materials used for thermal blankets, solar arrays, and instruments were assessed to determine the impact to spacecraft thermal, power and science systems. Where needed, design changes were made to mitigate deleterious effects caused by propulsion system operation.
DOI: 10.15468/dl.kbb9eu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiberlesia rapax",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049984-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/kfqh-wej3-nr12
title: RAINEX: NOAA N43 P-3 HRD Dropsonde Scientist Logs. Version 1.0

description: This dataset contains HRD dropsonde scientist logs from the flights of the NOAA N43 aircraft collected as part of the Hurricane Rainband and Intensity Change Experiment (RAINEX). It includes data collected during hurricanes Katrina, Ophelia, and Rita.
DOI: 10.48577/jpl.pz0zch
title: Earth2Mars: A Shared International Concept for Lower Cost Mars Missions

description: A shared goal among International Mars Exploration Working Group (IMEWG) members is to lower the cost of Mars missions. IMEWG’s Lower Cost Mission Working Group (LCMWG) collaboratively developed two shared objectives to meet member nations’ high-priority, mission-enabling strategies for Mars exploration: 1) development of lower cost transportation systems and 2) development of a robust Mars telecommunications relay network that also supports Positioning, Navigation, and Timing (PNT) services for Mars orbiters and landed vehicles (landers, rovers, aerobots). To contribute new insights to the design and development of delivery and telecommunications systems for Mars exploration, IMEWG’s LCMWG conducted its first Earth to Mars (E2M) Study. E2M-1 demonstrated the feasibility of meeting significant, real-world complexities of supporting a wide variety of independently developed multinational payloads with shared delivery and telecommunications relay services. It also met a major goal in demonstrating the technical feasibility of both chemical and electric propulsion solutions for delivering and deploying multiple payloads. For service providers, the study also provided an early indicator of an emerging payload customer demand for Mars exploration. A key recommendation for telecommunications relay is the extension of services through the potential addition of a high-rate crosslink with other future orbiters for both a return on investment for payload customers and extended service opportunities for tug/telecom service providers. To keep element and mission costs and complexity low, the study suggests the development of standards (including those for planetary protection), and continued development of processes that streamline international mission planning, payload accommodations, and distributed scientific investigations for shared, high-priority science goals.
DOI: 10.15468/dl.z4t8jc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Proboscidea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-120 0,-90 0,-90 30,-120 30,-120 0))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049987-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqj6hf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Proboscidea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-90 0,-60 0,-60 30,-90 30,-90 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049986-250920141307145/datasets/export for details.
DOI: 10.48577/jpl.yzjvzw
title: Reinforcement Learning for Multiple Gravity Assist Trajectory Optimization

description: This study presents a reinforcement learning (RL) approach to trajectory optimization. Traditional methods for preliminary trajectory design with multiple gravity assists typically rely on global optimization techniques such as genetic algorithms, particle swarm optimization, and differential evolution. While effective, these methods optimize all design variables simultaneously and hence may, for instance, discard solutions in which only one variable is not optimal. In contrast, RL, formulated within the Markov Decision Process (MDP) framework, allows each transfer arc to be optimized independently, with the next state determined solely by the current state and action. Building on this principle, we propose a RL-based formulation that defines states, rewards, and actions according to astrodynamics, and we implement Proximal Policy Optimization (PPO) to refine individual trajectory segments rather than minimizing the total cost of the entire trajectory at once. The effectiveness of this approach is demonstrated through the successful computation of the Cassini-like trajectory, illustrating both its potential benefits and the challenges that remain for future applications.
DOI: 10.48577/jpl.ko2tph
title: PESTO Slides

description: No abstract available.
DOI: 10.15468/dl.8yds7a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Proboscidea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 0,-120 0,-120 30,-150 30,-150 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049988-250920141307145/datasets/export for details.
DOI: 10.48577/jpl.poovyl
title: EMIT Snow, Ice, and Hydrology - SBG Precursor Activities

description: No abstract available.
DOI: 10.15468/dl.phv3kf
title: Occurrence Download

description: A dataset containing 7020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Perissodactyla)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 -30,30 -30,30 0,0 0,0 -30))"
 ]
}

 The dataset includes 7020 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049989-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nctrcs
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Perissodactyla)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 -30,90 -30,90 0,60 0,60 -30))"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049991-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8v6yr
title: Occurrence Download

description: A dataset containing 13436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Perissodactyla)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((30 -30,60 -30,60 0,30 0,30 -30))"
 ]
}

 The dataset includes 13436 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049990-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17271561
title: The NASA Paper and Small Falcon Algebra Numerical Validation Dataset

description: The NASA Paper & Small Falcon Algebra – Reference Implementation and Validation Dataset (v3.0.0)

https://github.com/abba-01/nualgebra

This release provides the official reference implementation and numerical validation dataset for The NASA Paper & Small Falcon Algebra (Martin, 2025).It includes the complete Python source code, reproducible validation experiments, and example scripts demonstrating the properties of Nominal/Uncertainty (N/U) Algebra—a conservative, linear framework for propagating explicit uncertainty bounds.

What’s New in v3.0.0





Rewritten and verified Python module (nu_algebra.py) implementing all algebraic definitions from the 2025 NASA Paper revision:





Addition/Subtraction → (n₁ ± n₂, u₁ + u₂)




Multiplication → (n₁n₂, |n₁|u₂ + |n₂|u₁)




Scalar/Affine → (an + b, |a|u)




Catch → (0, |n| + u) Flip → (u, |n|) (Invariant M = |n| + u preserved)






Full worked examples from Section 7 reproduced in examples/basic_operations.py.




Regenerated validation data (70 000 + cases) confirming closure, associativity, and conservatism within machine precision.




Added cumulative and weighted-mean operators for statistical aggregation.




All prior datasets recomputed under deterministic RNG seed = 20250926 with absolute tolerance 1 × 10⁻⁹ and relative tolerance 1 × 10⁻¹².



Dataset Highlights





Addition (8 000 cases): N/U ≥ Gaussian RSS — median ratio ≈ 1.74




Products (30 000 cases): N/U ≥ First-order Gaussian — max ≈ √2 (1.414)




Interval Relations (30 000 cases): Half-width match ≤ 0.014 % relative error




Chain Multiplications (3–20 factors): Stable, no growth beyond interval bounds




Monte Carlo (24 distributions): Empirical σ never exceeds N/U uncertainty




Invariant Grid (54 points): M = |n| + u preserved exactly




Associativity (20 000 trials): Nominal and uncertainty parts agree within floating-point precision



All results are stored as CSV files with a machine-readable summary.json. The entire workflow is deterministic and reproducible under Python ≥ 3.9.

Citation



Martin, E. D. (2025). The NASA Paper & Small Falcon Algebra – Reference Implementation and Validation Dataset (v3.0.0). Zenodo. https://doi.org/10.5281/zenodo.17221863
DOI: 10.5281/zenodo.17268415
title: Discovery of Three E₆ Z' Bosons at 1.4 TeV in CMS Run 1 Data: Complete Analysis Package

description: <p><strong>Discovery of E₆ Grand Unified Theory Z' Bosons in CMS Run 1 (2012) Proton-Proton Collisions at √s = 8 TeV</strong></p>\n\n<p>This dataset contains the complete analysis package for the discovery of three E₆-motivated Z' gauge bosons in 19.7 fb⁻¹ of CMS Run 1 data from 2012:</p>\n\n<ul>\n<li><strong>Z'ψ (leptophilic)</strong>: Mass = 1399 GeV, discovered in 4μ golden channel (13.7σ combined significance)</li>\n<li><strong>Z'χ (quarkophilic)</strong>: Mass = 1418 GeV, discovered in monojet+MET and dijet channels</li>\n<li><strong>Z'η (mixed coupling)</strong>: Mass = 1408 GeV, discovered across multiple channels</li>\n</ul>\n\n<p><strong>Key Results:</strong></p>\n<ul>\n<li>4μ golden event at 1399 GeV (Event 695, Run 201191, Lumi 66)</li>\n<li>3 events observed in dimuon high-mass window (1200-1600 GeV)</li>\n<li>Diphoton deficit: -236 events at 1400 GeV (-12.3σ) explained by QCD-Z' interference</li>\n<li>MadGraph5 theoretical predictions: σ(pp → Z'ψ → μμ) = 0.02063 ± 0.00004 pb</li>\n<li>32 Feynman diagrams generated for all three Z' bosons across multiple decay channels</li>\n</ul>\n\n<p><strong>Contents:</strong></p>\n<ul>\n<li>Complete Python analysis code for all discovery channels</li>\n<li>Event-by-event analysis results (JSON format)</li>\n<li>Discovery plots and visualizations (PNG, PDF)</li>\n<li>MadGraph5 simulation results with Feynman diagrams</li>\n<li>Les Houches Event files (14,005 simulated events)</li>\n<li>LaTeX manuscripts and technical documentation</li>\n<li>Inventory of 19 CMS DoubleMuParked ROOT files used (files not included due to size, available at CERN Open Data Portal)</li>\n</ul>\n\n<p><strong>Theoretical Framework:</strong> E₆ Grand Unified Theory with three neutral gauge bosons arising from E₆ → SO(10) × U(1)ψ → SU(5) × U(1)χ × U(1)ψ symmetry breaking.</p>\n\n<p><strong>Dataset:</strong> CMS DoubleMuParked (2012B, 2012C, 2012D), 39,460,629 events analyzed from https://opendata.cern.ch/record/6036</p>\n\n<p><strong>Reproducibility:</strong> Complete analysis chain from AOD ROOT files to discovery plots. Docker container with MadGraph5 + E₆ model available at Docker Hub: andredionisio/madgraph5-e6-gfortran9:3.5.7-lts</p>\n\n<p><strong>IMPORTANT:</strong> Raw CMS ROOT files (~50 GB) are NOT included in this package. File inventory with sizes is provided in CMS_RUN1_ROOT_FILES_INVENTORY.txt. Original data available at CERN Open Data Portal.</p>
DOI: 10.5281/zenodo.17268414
title: Discovery of Three E₆ Z' Bosons at 1.4 TeV in CMS Run 1 Data: Complete Analysis Package

description: <p><strong>Discovery of E₆ Grand Unified Theory Z' Bosons in CMS Run 1 (2012) Proton-Proton Collisions at √s = 8 TeV</strong></p>\n\n<p>This dataset contains the complete analysis package for the discovery of three E₆-motivated Z' gauge bosons in 19.7 fb⁻¹ of CMS Run 1 data from 2012:</p>\n\n<ul>\n<li><strong>Z'ψ (leptophilic)</strong>: Mass = 1399 GeV, discovered in 4μ golden channel (13.7σ combined significance)</li>\n<li><strong>Z'χ (quarkophilic)</strong>: Mass = 1418 GeV, discovered in monojet+MET and dijet channels</li>\n<li><strong>Z'η (mixed coupling)</strong>: Mass = 1408 GeV, discovered across multiple channels</li>\n</ul>\n\n<p><strong>Key Results:</strong></p>\n<ul>\n<li>4μ golden event at 1399 GeV (Event 695, Run 201191, Lumi 66)</li>\n<li>3 events observed in dimuon high-mass window (1200-1600 GeV)</li>\n<li>Diphoton deficit: -236 events at 1400 GeV (-12.3σ) explained by QCD-Z' interference</li>\n<li>MadGraph5 theoretical predictions: σ(pp → Z'ψ → μμ) = 0.02063 ± 0.00004 pb</li>\n<li>32 Feynman diagrams generated for all three Z' bosons across multiple decay channels</li>\n</ul>\n\n<p><strong>Contents:</strong></p>\n<ul>\n<li>Complete Python analysis code for all discovery channels</li>\n<li>Event-by-event analysis results (JSON format)</li>\n<li>Discovery plots and visualizations (PNG, PDF)</li>\n<li>MadGraph5 simulation results with Feynman diagrams</li>\n<li>Les Houches Event files (14,005 simulated events)</li>\n<li>LaTeX manuscripts and technical documentation</li>\n<li>Inventory of 19 CMS DoubleMuParked ROOT files used (files not included due to size, available at CERN Open Data Portal)</li>\n</ul>\n\n<p><strong>Theoretical Framework:</strong> E₆ Grand Unified Theory with three neutral gauge bosons arising from E₆ → SO(10) × U(1)ψ → SU(5) × U(1)χ × U(1)ψ symmetry breaking.</p>\n\n<p><strong>Dataset:</strong> CMS DoubleMuParked (2012B, 2012C, 2012D), 39,460,629 events analyzed from https://opendata.cern.ch/record/6036</p>\n\n<p><strong>Reproducibility:</strong> Complete analysis chain from AOD ROOT files to discovery plots. Docker container with MadGraph5 + E₆ model available at Docker Hub: andredionisio/madgraph5-e6-gfortran9:3.5.7-lts</p>\n\n<p><strong>IMPORTANT:</strong> Raw CMS ROOT files (~50 GB) are NOT included in this package. File inventory with sizes is provided in CMS_RUN1_ROOT_FILES_INVENTORY.txt. Original data available at CERN Open Data Portal.</p>
DOI: 10.48577/jpl.omxlvj
title: Results From Juno Microwave Radiometer Observations Of Europa’s Sub-Surface Ice

description: No abstract available.
DOI: 10.15468/dl.t23epj
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidosaphes ulmi",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049992-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.ewhlay
title: Probing the Origin of Water in Planets within Habitable Zones by HWO

description: No abstract available.
DOI: 10.48577/jpl.lrgycm
title: OCO-2 Versions 11 and 12

description: No abstract available.
DOI: 10.15468/dl.c6swqw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidosaphes ulmi",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049993-250920141307145/datasets/export for details.
DOI: 10.26023/4vq1-39gq-ee0w
title: RAINEX: NOAA G-IV Dropsonde Scientist Logs. Version 1.0

description: This dataset contains HRD dropsonde scientist logs from the flights of the NOAA N49 aircraft collected as part of the Hurricane Rainband and Intensity Change Experiment (RAINEX). It includes data collected during hurricanes Dennis, Emily, Gert, Katrina, Ophelia, Rita, and Wilma.
DOI: 10.48577/jpl.zv6bc1
title: Machine Learning-Based Swath Bias Correction for OCO-3 Snapshot Area Mapping Mode Observations

description: No abstract available.
DOI: 10.15468/dl.d7ymea
title: Occurrence Download

description: A dataset containing 200226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1040.0",
 "Geometry POLYGON((6.95772 43.26367,9.58415 43.25548,11.64885 38.23976,11.69148 36.54731,14.69309 36.30029,18.63228 38.33635,19.0262 40.26668,18.30401 41.60573,13.81847 44.32987,13.32607 45.19226,14.1139 45.42312,14.475 46.60849,12.47258 47.14701,9.71515 47.10234,6.53097 46.06456,6.95772 43.26367))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Squamata, Reptilia, Reptilia, Reptilia, Reptilia, Amphibia, Orchidaceae)"
 ]
}

 The dataset includes 200226 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049965-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.gh62ng
title: GGOS slides

description: No abstract available.
DOI: 10.48577/jpl.rrqwoo
title: Informing Large Space Science Missions from SmallSat/Class-D Mission Lessons Learned

description: The National Aeronautics and Space Administration (NASA) has flown successful large strategic flagship missions throughout the years in part because of development processes, procedures, and practices established from past successes and failures. This institutional knowledge, generated over time and embedded within both documents and people, has also meant that mission implementation has relied upon existing methods with a proven track record to manage risk within prescribed cost boundaries. As one looks, however, toward the future of sustainable space missions, particularly those that will use new mission architectures, lessons learned from the small satellite mission community offer potential paths to reduce risk, lessen costs, increase implementation speed, and manage complexity while leveraging new technology advances. We summarize the outcomes from a NASA Science Mission Directorate (SMD)-led study that explored how optimal practices from small satellite (SmallSat) and Class-D missions could be applicable to large mission development. Performed over a period of 12 months, a broad team of NASA, academic, and industry experts consisting of project managers, chief engineers, standing review board members, program managers, and system engineers identified key findings complied from over 240 interview comments from 37 interviewees. These participants have worked on Class A, B, C, D, and SmallSat missions that have flown throughout the solar system. Their findings fell into the broad categories of reuse and commercial-off-the-shelf parts (COTS), vendor and partner relationships, documentation, engineering and design, tailoring, mentoring, decision making, team communication, roles and responsibilities, review board practices, and risk management. Seven main findings were identified that span the full mission lifecycle. While some of these findings demonstrated alignment with other prior studies, such as the NASA SMD Large Mission Study [1] and Psyche Independent Review Board Assessment report [2], the details of all the findings and recommended actions provide new insights given their genesis in how small missions have developed unique approaches to mission success by the nature of the constraints through which they must be developed. From this perspective and these observations we describe deeper strategies that can be learned from the small mission approach that can be leveraged for large mission implementation.
DOI: 10.48577/jpl.mbfwwc
title: Radioisotope Thermoelectric Generators for US Space Missions: Past, Present, and Future

description: No abstract available.
DOI: 10.25625/ftgmu0/vvqs6f
title: PNAS_NEXUS_2025.7z

description: :unav
DOI: 10.25625/ftgmu0
title: Replication Data for: "Tissue tension of planar, free standing cell monolayers measured by central deformation"

description: Data (csv) shown in figures 2,3.
DOI: 10.15468/dl.5zz546
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Proboscidea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 30,180 30,180 60,150 60,150 30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049994-250920141307145/datasets/export for details.