cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2k8jds
title: CCDC 2361685: Experimental Crystal Structure Determination

description: Related Article: Jie Wang, Iran Rojas-Leon, Niklas Rinn, Lukas Guggolz, Ferdinand Ziese, Simone Sanna, Nils W. Rosemann, Stefanie Dehnen|2024|Angew.Chem.,Int.Ed.|63|e202411752|doi:10.1002/anie.202411752
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.cc2k8jft
title: CCDC 2361686: Experimental Crystal Structure Determination

description: Related Article: Jie Wang, Iran Rojas-Leon, Niklas Rinn, Lukas Guggolz, Ferdinand Ziese, Simone Sanna, Nils W. Rosemann, Stefanie Dehnen|2024|Angew.Chem.,Int.Ed.|63|e202411752|doi:10.1002/anie.202411752
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.cc2k8p4p
title: CCDC 2361832: Experimental Crystal Structure Determination

description: Related Article: Ming Wai Liaw, Haruka Hirata, Gong-Feng Zou, Jie Wu, Yu Zhao|2025|J.Am.Chem.Soc.|147|7721|doi:10.1021/jacs.4c17355
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.cc2kt87x
title: CSD 2377769: Experimental Crystal Structure Determination

description: Related Article: Meng-Yue Li, Xin Liu, Yi-Chen Liu, Rui-Xi Wang, Jingyu Guo, Li-Ming Wu, Ling Chen|2025|Angew.Chem.,Int.Ed.|64|e202423054|doi:10.1002/anie.202423054
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.trc56p
title: Occurrence Download

description: A dataset containing 2628 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nerodia floridana"
 ]
}

 The dataset includes 2628 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063105-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nggfj9
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ireland",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Aquila chrysaetos, Haliaeetus albicilla)"
 ]
}

 The dataset includes 418 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063106-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whk47k
title: Occurrence Download

description: A dataset containing 1396 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 3039194 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 3039194 OR CAST(occurrence.kingdomkey AS INTEGER) = 3039194 OR CAST(occurrence.phylumkey AS INTEGER) = 3039194 OR CAST(occurrence.classkey AS INTEGER) = 3039194 OR CAST(occurrence.orderkey AS INTEGER) = 3039194 OR CAST(occurrence.familykey AS INTEGER) = 3039194 OR CAST(occurrence.genuskey AS INTEGER) = 3039194 OR CAST(occurrence.specieskey AS INTEGER) = 3039194)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 1396 records were derived from 661 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063093-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18019983
title: SEAMM Package List

description: The package list for the SEAMM environment, also complete conda environment files with and without the version pinned.
DOI: 10.48577/jpl.egzfsu
title: Towards a Climate OSSE Framework for Satellite Mission Design

description: The rich history of observing system simulation experiments (OSSEs) does not yet include a well-established framework for using climate models. The need for a climate OSSE is triggered by the need to quantify the value of a particular measurement for reducing the uncertainty in climate predictions, which differ from numerical weather predictions in that they depend on future atmospheric composition rather than the current state of the weather. However, both weather and climate modeling communities share a need for motivating major observing system investments. Here we outline a new framework for climate OSSEs that leverages the use of machine-learning to calibrate climate model physics against existing satellite data. We demonstrate its application using NASA’s GISS-E3 model to objectively quantify the value of potential future improvements in spaceborne measurements of Earth's planetary boundary layer. A mature climate OSSE framework should be able to quantitatively compare the ability of proposed observing system architectures to answer a climate-related question, thus offering added value throughout the mission design process, which is subject to increasingly rapid advances in instrument and satellite technology. Technical considerations include selection of observational benchmarks and climate projection metrics, approaches to pinpoint the sources of model physics uncertainty that dominate uncertainty in projections, and the use of instrument simulators. Community and policy-making considerations include the potential to interface with an established culture of model intercomparison projects and a growing need to economically assess the value-driven efficiency of social spending on Earth observations.
DOI: 10.17026/ss/x1bpqr
title: Drugs Monologen interview Ton Nabben

description: Drugs Monologen was een digital storytelling en oral history project van de Open Universiteit (Faculteit Cultuurwetenschappen) en het Poppi Drugs Museum dat liep van oktober 2023 tot oktober 2025. Het project draaide om het bestuderen van de Nederlandse drugsgeschiedenis vanuit het perspectief van mensen die zelf drugs gebruikten in de periode ca. 1960-2000. In dit kader vonden 28 oral history interviews en 5 thematische groepsinterviews plaats. Daarnaast werd een speciale app ontwikkeld waarmee deelnemers op de Drugs Monologen website hun eigen historische ‘monoloog’ konden vertellen en bijdragen aan het onderzoek. Deze laatste methode leverde 51 monologen op. De oral history interviews, groepsinterviews en monologen waarvoor van de verteller toestemming werd verkregen voor gebruik voor toekomstig onderzoek zijn hier bewaard. Bij alle Nederlandstalige items is een transcriptie toegevoegd. Dit item maakt deel uit van deze datacollectie. Vanwege de privacygevoelige aard van de data kunnen deze alleen worden geraadpleegd na via de daartoe bestemde knop toestemming te hebben aangevraagd en verkregen voor toegang tot deze dataset.
DOI: 10.48577/jpl.jabsry
title: Delta-X: an airborne remote sensing framework to calibrate hydrodynamic and ecogeomorphic processes responsible for land building in coastal deltas

description: Coastal river deltas are highly dynamic regions with hydrological processes that vary on hourly, daily, and seasonal timescales. Soil formation in deltas relies on the balance between mineral sediment deposition, erosion, and organic matter production, which are intricately controlled by vegetation and hydrodynamic conditions. The spatial complexity and rapid variations in flow, particularly due to tides, present a major challenge to spaceborne remote sensing achieving the required spatial resolution and temporal sampling. Here, we present an airborne remote sensing and in situ framework that measures parameters that are critical to calibrate and validate hydrodynamic, sediment transport morphodynamic, and ecogeomorphic models. We discuss the measurements and models within the context of the NASA Earth Venture-Suborbital Delta-X mission, which implemented the framework in two deltaic regions of the Mississippi River Delta with contrasting hydrological regimes, namely the Atchafalaya (i.e., active, river-dominated) and Terrebonne (inactive, river-abandoned) basins that are undergoing land gain and land loss, respectively. The Delta-X framework uses two airborne radar instruments to monitor hydrodynamic processes, measuring water surface level and slope within channels, and tide-induced water level change within wetlands. In addition, an airborne imaging spectrometer provides estimates of suspended sediment concentrations in open water as well as vegetation type and aboveground biomass. We also discuss how the data are used to calibrate and validate the models that estimate sediment deposition and organic soil production, which build land to offset subsidence and sea level rise.
DOI: 10.48577/jpl.tksl86
title: Frequency domain approach for ACES space-clock comparisons to extract gravitational redshift

description: We report on how to use a frequency-domain approach to analyse ACES (Atomic Clock Ensemble in Space) space-clock to ground comparison data to extrapolate the gravitational-redshift violation parameter  to 2.9 × 10−6 from 12 days of simulated data. Previous work on this extrapolation achieved similar precision only with a phase approach; our method uses a frequency observable derived directly from the phase observable, avoiding the need to fit random walk data or perform Monte Carlo simulations to determine the fit uncertainty. Our approach not only results in similar  uncertainty for 12 days of simulated data but also offers new analytic expressions for how the uncertainty scales with data-length and a different framework for understanding the limits of the measurement. The new framework illustrates more readily how a 1 × 10−16 frequency offset between the space and ground clock leads to a bias (i.e. systematic uncertainty) in  comparable to its statistical uncertainty of 2.9 × 10−6. Overall, our approach provides an independent analysis method for the determining , particularly important for the overall rigor and validity of the ACES science return.
DOI: 10.48577/jpl.hvrt2y
title: The SPHEREx Satellite Mission

description: SPHEREx, a NASA Explorer satellite launched on 11 March 2025, is carrying out the first all-sky near-infrared spectral survey. The satellite observes in 102 spectral bands from 0.75 to 5.0 µm with aresolving power ranging from λ/∆λ = 35−130 in 6. ′′2 pixels. The observatory obtains a 5σ depth of 19.5 - 19.9 AB mag for 0.75 &lt; λ &lt; 3.8 µm with λ/∆λ ∼ 40 and 17.8 - 18.8 AB mag for 3.8 &lt; λ &lt; 5.0 µm with λ/∆λ ∼ 120 after mapping the full sky four times over two years. Scientifically, SPHEREx will produce a large galaxy redshift survey over the full sky to constrain the amplitude of inflationary non-Gaussianity. The observations will produce two deep spectral maps near the ecliptic poles that use intensity mapping to probe the evolution of galaxies over cosmic history. By mapping the depth of infrared absorption features over the Galactic plane, SPHEREx will comprehensively survey the abundance and composition of water and other biogenic ice species in the interstellar medium. The project will release initial data rapidly in the form of spectral images, and specialized data products over the life of the mission as the surveys proceed. The science team will also produce spectral catalogs of planet-bearing and low-mass stars, solar system objects, and galaxy clusters 3 years after launch. We describe the design of the instrument and spacecraft, which flow from the core science requirements. Finally, we present an initial evaluation of the satellite’s in-flight performance and key characteristics.
DOI: 10.48577/jpl.awgl0p
title: Organic Cofactors in the Electron Transport Chain: Properties and Connection to the Prebiotic World

description: Abstract: Metabolism is a critical process for biology and is of great interest to those researching geobiological processes and the origins of life. A metabolism comprises a network of chemical reactions for molecular synthesis, energy conversion pathways, and cellular function. Understanding the mechanisms underlying metabolic processes provides insight into the evolution of the electrochemical processes in complex systems and informs the possible pathways by which abiotic chemistry transitioned to biochemistry. Modern enzymes utilize cofactors to mediate chemical reactions and overcome energetic limitations. While enzymes are specific, large, and complex biological proteins, cofactors are simpler ions and molecules incorporated within the larger protein complex. Cofactors play a fundamental role in supplementing enzyme’s catalytic role and may represent a convergence between abiotic and biotic chemistry, allowing studies of cofactors to reveal potential prebiotic processes. Here we review some of the organic nucleotide cofactors participating in the electron transport chain: their structures, capacity for energy conversion, and their putative role in the origins of life. We then make recommendations for future research topics and avenues.
DOI: 10.48577/jpl.urffwp
title: Keyhole-AwareTarget Site Selection forKinetic Impact Missions to Near-Earth Asteroids

description: We introduce a new method for selecting kinetic impactor target sites on near-Earth asteroids. Most asteroids that possess a significant impact risk with Earth admit multiple impacting trajectories. Uncontrolled deflection of such asteroids might dismiss the immediate impact risk but can also push the asteroid into a `keyhole', which would lead to a future impact. Our method maps potential outcomes of a kinetic impactor mission to the surface of the asteroid, allowing us to identify the optimal target site and rotation phase that minimizes the risk of pushing the asteroid off the Earth and into a keyhole. In this work, we illustrate this process using the keyholes for asteroid (101955) Bennu. We map the Bennu keyholes onto shape models of various asteroids to demonstrate the influence of shapes on the deflection outcomes. By computing the per-facet impact probability for different shapes, we can assess the dependence of the optimal target site on the asteroid's shape and spin state. Our results indicate that an optimal kinetic impact mission must take the spin state and shape of the target asteroid into account to minimize post-deflection impact risk. We also assess the effect of varying the targeting uncertainty of the kinetic impactor spacecraft in anticipation of future improvements. This work provides a framework for selecting optimal timing and target locations for kinetic impact missions at near-Earth asteroids, which can be used by mission designers to inform future asteroid impact hazard mitigation efforts.
DOI: 10.48577/jpl.w13zgu
title: A Global, Multidecadal Carbon Monoxide (CO) Record from The Sounder AIRS/CrIS System

description: Satellite observations of carbon monoxide (CO) are essential for monitoring global air quality, pollution transport, and climate-related emissions. This study evaluates the continuity and consistency of CO measurements derived from the Atmospheric Infrared Sounder (AIRS) and the Cross-track Infrared Sounder (CrIS), both operating in the thermal infrared band near 4.6 µm. By comparing retrievals from the AIRS Science Team v7 and the CLIMCAPS (Community Long-term Infrared Microwave Combined Atmospheric Product System) algorithms across AIRS and CrIS radiances, we demonstrate that the interannual CO variability is consistent across instruments and algorithms. These findings are validated using the long-term MOPITT record. Additionally, we show that mid-tropospheric CO variabilities correspond with fire detections from MODIS and surface vapor pressure deficit (VPD) anomalies, indicating a rise in wildfire activity in the Northern Hemisphere. The results shown here provide confidence in the utility of a combined AIRS/CrIS CO record. With the scheduled continuation of CrIS observations through future JPSS platforms, the combined CO record from U.S. hyperspectral sounders in the afternoon orbit is set to continue to 2035 and beyond, providing a possible means to quantify trends and interannual variability over multiple decades.
DOI: 10.25574/28068
title: Chandra X-ray Observatory ObsId 28068

description: Mining the transient sky: Chandra-NuSTAR Observations of the fastest explosions
DOI: 10.5281/zenodo.18019951
title: HIV integration sites in NUP62KO CD4 cells

description: Integration sites in activated and resting CD4's annotated with gene name, rloop, and expression values.
DOI: 10.25574/29475
title: Chandra X-ray Observatory ObsId 29475

description: Searching for Pulsating Neutron Stars Inside the Globular Cluster M28
DOI: 10.5281/zenodo.18019959
title: AI-Integrated Framework for Cost Reduction in Petroleum Extraction and Refining: A Bayesian-Enhanced Model with Sensitivity Analysis and GPU Acceleration

description: This manuscript presents a comprehensive AI-integrated conceptual framework designed to achieve substantial reductions in operational costs associated with petroleum extraction and refining through optimized enhanced oil recovery (EOR) strategies. As a proof-of-concept using a simplified Darcy-based surrogate model, numerical simulations project up to 32% cost savings in benchmark scenarios, corroborated by literature indicating potentials of 40--50% in targeted applications \cite{bcg2022real,imubit2025efficiency}. The framework synergistically combines advanced machine learning (ML) algorithms, including deep reinforcement learning (DRL), with Bayesian inference for rigorous uncertainty quantification (UQ) and global sensitivity analysis. It assimilates real-time reservoir telemetry data with predictive analytics to identify and mitigate inefficiencies in fluid dynamics and process workflows, incorporating physics-informed linkages between upstream EOR injection and downstream crude quality (e.g., API gravity enhancements via CO\( _2 \) swelling and viscosity reduction). Core mathematical foundations include stochastic differential equations (SDEs) governing multiphase flow and variational optimization techniques employing stochastic gradient descent (SGD). Replicable Python-based simulations, augmented by Markov Chain Monte Carlo (MCMC) sampling via Hamiltonian Monte Carlo (HMC), validate the projected cost mitigations across diverse heterogeneous geological models, with parameters calibrated from techno-economic assessments (e.g., operational costs $\sim$60 USD/bbl). Model falsifiability is rigorously established through direct comparisons with established Society of Petroleum Engineers (SPE) benchmarks, such as the Comparative Solution Project 11 (CSP11) for CO\( _2 \)-EOR \cite{christie2001tenth}, and discussions of historical matching and failure modes. Bayesian posterior distributions provide probabilistic insights into parameter sensitivities, highlighting critical thresholds (e.g., porosity \( \phi > 0.18 \) for economic viability). This self-contained conceptual framework advances the frontiers of petroleum engineering by offering a scalable, empirically verifiable paradigm for sustainable and economically efficient hydrocarbon extraction and processing, with prospective GPU-accelerated implementations and hybrid variational inference to address HMC's computational complexity (O(L d) per sample) within optimization loops.
DOI: 10.34740/kaggle/dsv/14258548
title: Antutu Benchmark
DOI: 10.15468/dl.x6aynj
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Batrachoseps regius"
 ]
}

 The dataset includes 189 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063108-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykezhs
title: Occurrence Download

description: A dataset containing 8557 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nerodia taxispilota"
 ]
}

 The dataset includes 8557 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063107-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.