cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive131673.20241212.9.2
title: Chryseobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131674.20241212.9.2
title: Chryseobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131675.20241212.9.2
title: Chryseobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131676.20241212.9.2
title: Chryseobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131677.20241212.9.2
title: Chryseobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131678.20241212.9.2
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131679.20241212.9.2
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131680.20241212.9.2
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131681.20241212.9.2
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131682.20241212.9.2
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131683.20241212.9.2
title: Chelatococcus caeni Jin et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131684.20241212.9.2
title: Corynebacterium crudilactis Zimmermann et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131686.20241212.9.2
title: Deinococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131691.20241212.9.2
title: Curtobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131692.20241212.9.2
title: Curtobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.hartpr
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina swinglei (Merr.) Mich.Möller & A.Weber)"
 ]
}

 The dataset includes 32 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000290-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zswes
title: Occurrence Download

description: A dataset containing 539162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-13.22973 26.35502,40.41829 26.35502,40.41829 47.12585,-13.22973 47.12585,-13.22973 26.35502))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Perciformes"
 ]
}

 The dataset includes 539162 records from 543 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000180-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uehaka
title: Occurrence Download

description: A dataset containing 2232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "TaxonKey is Costus pulverulentus C.Presl"
 ]
}

 The dataset includes 2232 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000292-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42kh4q
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mammalia)",
 "HasCoordinate is one of (true)",
 "Geometry POLYGON((-73.2004274429575 -10.0689597418035,-72.5221171366319 -10.0689597418035,-72.5221171366319 -9.41235959496588,-73.2004274429575 -9.41235959496588,-73.2004274429575 -10.0689597418035))"
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000291-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5pnpv
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina tabacum Hance)"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000293-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwtr4e
title: Occurrence Download

description: A dataset containing 3581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "TaxonKey is Costus scaber Ruiz & Pav."
 ]
}

 The dataset includes 3581 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000296-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vs453p
title: Occurrence Download

description: A dataset containing 7301 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alpinia zerumbet (Pers.) B.L.Burtt & R.M.Sm."
 ]
}

 The dataset includes 7301 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000295-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.j6d4pq
title: Water vapor as a probe of the origin of gas in debris disks

description: Debris disks embrace the formation and evolution histories of planetary systems. Recent detections of gas in these disks have received considerable attention, as its origin ties up ongoing disk evolution and the present composition of planet-forming materials. Aims. Observations of the CO gas alone, however, cannot reliably differentiate between two leading, competing hypotheses: (1) the observed gas is the leftover of protoplanetary disk gas, and (2) the gas is the outcome of collisions between icy bodies. We propose that such differentiation may become possible by observing cold water vapor. Methods. Order-of-magnitude analyses and comparison with existing observations are performed. Results. We show that different hypotheses lead to different masses of water vapor. This occurs because, for both hypotheses, the presence of cold water vapor is attributed to photodesorption from dust particles by attenuated interstellar UV radiation. Cold water vapor cannot be observed by current astronomical facilities as most of its emission lines fall in the far-IR (FIR) range. Conclusions. This work highlights the need for a future FIR space observatory to reveal the origin of gas in debris disks and the evolution of planet-forming disks in general.
DOI: 10.48577/jpl.wxzc0b
title: Unclouding the Correlations: A Principal Component Analysis of Convective Environments

description: In this study, we leverage 25 years of observations from spaceborne radars, along with21 coincident reanalysis data, to determine how the depth and width of precipitating convective22 storms are related to the large-scale environments in which they are observed. We find that the23 deepest convective features are observed in environments markedly different from the24 environments of other convective features, including organized convection. Deep storms co25 occur with relatively dry, unstable conditions, while wide storms are observed in moist,26 relatively stable environments. We identify eight large-scale environmental variables that serve27 to distinguish between storm modes, and then show that principal component analysis can be28 used to condense this information into just two scalar variables. The methodology presented29 offers a succinct way to describe a storm’s environment and will allow us to better relate a30 storm’s initial environment to its dynamical characteristics.
DOI: 10.48577/jpl.agerv6
title: A Membrane-Based Mesh Filter for Far-Infrared Radiation.

description: Future space-based far-infrared instruments rely on optical components that enable high-efficiency observations in challenging environments. Here we demonstrate membrane-based mesh bandpass filters for far-infrared electromagnetic waves, targeting wavelengths of 15-37 μm. The filter architecture consists of periodic in-plane patterns, combined with alternating layers of polyimide and gold stacked vertically. This design utilizes spatial in-plane degrees of freedom and the vertical structure of the filters to achieve the desired filter performance. The optimization of this architecture is performed using finite-element electromagnetic simulations, and the fabrication is realized using advanced micro-fabrication techniques. Experimental validation of fabricated filters via Fourier Transform Infrared (FTIR) spectroscopy demonstrates an 80 percent transmission efficiency. These membrane-based filters meets theoretical expectations, selectively transmits wavelengths, and are compatible with existing instrument architectures, making them a promising solution for deep space communications and far-infrared radiometry.
DOI: 10.15468/dl.kutxye
title: Occurrence Download

description: A dataset containing 17751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Myotis lucifugus (Le Conte, 1831)"
 ]
}

 The dataset includes 17751 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000294-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.pz0w2g
title: Euclid preparation Sensitivity to non-standard particle dark matter model

description: The Euclid mission of the European Space Agency will provide weak gravitational lensing and galaxy clustering surveys that can be used to constrain the standard cosmological model and its extensions, with an opportunity to test the properties of dark matter beyond the minimal cold dark matter paradigm. We present forecasts from the combination of the Euclid weak lensing and photometric galaxy clustering data on the parameters describing four interesting and representative non-minimal dark matter models: a mixture of cold and warm dark matter relics; unstable dark matter decaying either into massless or massive relics; and dark matter experiencing feeble interactions with relativistic relics. We model these scenarios at the level of the non-linear matter power spectrum using emulators trained on dedicated N-body simulations. We use a mock Euclid likelihood and Monte Carlo Markov Chains to fit mock data and infer error bars on dark matter parameters marginalised over other parameters. We find that the Euclid photometric probe (alone or in combination with cosmic microwave background data from the Planck satellite) will be sensitive to the effect of each of the four dark matter models considered here. The improvement will be particularly spectacular for decaying and interacting dark matter models. With Euclid, the bounds on some dark matter parameters can improve by up to two orders of magnitude compared to current limits. We discuss the dependence of predicted uncertainties on different assumptions: inclusion of photometric galaxy clustering data, minimum angular scale taken into account, modelling of baryonic feedback effects. We conclude that the Euclid mission will be able to measure quantities related to the dark sector of particle physics with unprecedented sensitivity. This will provide important information for model building in high-energy physics. Any hint of a deviation from the minimal cold dark matter paradigm would have profound implications for cosmology and particle physics. Key words. Cosmology: dark matter; large-scale structure of Universe; observations
DOI: 10.48577/jpl.rzxuxb
title: A machine learning approach to produce a continuous solar-induced chlorophyll 1 fluorescence over the Arctic Ocean

description: Phytoplankton primary production is a crucial component of Arctic Ocean (AO) biogeochemistry, playing a pivotal role in carbon cycling by supporting higher trophic levels and removing atmospheric carbon dioxide. The advent of satellite observations measuring chlorophyll a concentration (Chl_a) has provided unprecedented insights into the distribution of AO phytoplankton, enhancing our ability to assess oceanic net primary production (NPP). However, the optical properties of AO waters differ significantly from those of the lower-latitude waters, complicating remotely-sensed Chl_a retrievals. To mitigate these deficiencies, solar-induced chlorophyll fluorescence (SIF) has emerged as a valuable tool for gaining physiological insights into the direct photosynthetic processes of the AO. However, the temporal coverage of satellite SIF data makes long-term analysis of Chl_a photosynthetic activity challenging. In this study, we leverage satellite-based SIF measurements from 2018–2021 to assess their correlation with a set of predictive factors influencing phytoplankton photosynthesis. Generally, observed SIF over the AO showed a higher correlation with normalized fluorescence line height (NFLH) compared to Chl_a. We extended the temporal coverage of the original SIF data to encompass the period from 2004 to 2020. The extended record revealed noticeable differences between SIF, and satellite-based Chl_a, and NFLH observations. Our novel dataset offers a pathway forward to monitor the physiological interactions of phytoplankton with climate changes, promising to significantly improve our understanding of Arctic waters productivity. The application of this data is expected to provide new insights into how phytoplankton respond to environmental shifts, contributing to a more nuanced understanding of their role in high-latitude marine ecosystems.
DOI: 10.48577/jpl.vgyn1t
title: Euclid preparation Observational expectations for z 7 active galactic nuclei in the Euclid Wide and Deep surveys⋆

description: We forecast the expected population of active galactic nuclei (AGN) observable in the EuclidWide Survey (EWS) and Euclid Deep Survey (EDS). Starting from an X-ray luminosity function (XLF) we generate volume-limited samples of the AGN expected in the Euclid survey footprints. Each AGN is assigned an SED appropriate for its X-ray luminosity and redshift, with perturbations sampled from empirical distributions. The photometric detectability of each AGN is assessed via mock observation of the assigned SED.We estimate 40 million AGN will be detectable in at least one Euclid band in the EWS and 0.24 million in the EDS, corresponding to surface densities of 2.8 × 103 deg−2 and 4.7 × 103 deg−2. Employing Euclid-only colour selection criteria on our simulated data we select a sample of 4.8 × 106 (331 deg−2) AGN in the EWS and 1.7 × 104 (346 deg−2) in the EDS, amounting to 10% and 8% of the AGN detectable in the EWS and EDS. Including ancillary Rubin/LSST bands improves the completeness and purity of AGN selection. These data roughly double the total number of selected AGN to comprise 21% and 15% of the Euclid detectable AGN in the EWS and EDS. The total expected sample of colour-selected AGN contains 6.0 × 106 (74%) unobscured AGN and 2.1 × 106 (26%) obscured AGN, covering 0.02 ≤ z ≲ 5.2 and 43 ≤ log10(Lbol/erg s−1) ≤ 47. With this simple colour selection, expected surface densities are already comparable to the yield of modern X-ray and mid-infrared surveys of similar area. The relative uncertainty on our expectation for Euclid detectable AGN is 6.7% for the EWS and 12.5% for the EDS, driven by the uncertainty of the XLF. Key words. Surveys – Galaxies: active – quasars: general
DOI: 10.48577/jpl.xzsid2
title: Intercomparison of in situ and satellite sea surface salinity products for global coastal ocean studies.

description: Observing coastal ocean salinity is crucial for understanding the physical and biological processes impacting ocean circulation, ecosystems and the hydrological cycle. We perform a thorough comparison between in situ and satellite sea surface salinity (SSS) products with a focus on global coastal ocean. Between 40-500 km from the coastline, we intercompare SSS from more than two million World Ocean Database (WOD) salinity profiles, gridded Argo data and satellite products: NASA Multi-Mission Optimally Interpolated Sea Surface Salinity (OISSS), 40 and 70-km Remote Sensing Systems (REMSS) Soil Moisture Active Passive (SMAP), Jet Propulsion Laboratory (JPL) SMAP, Laboratory of Oceanography and Climate: Experiments and Numerical Approaches (LOCEAN) Soil Moisture Ocean Salinity (SMOS) and European Space Agency (ESA) Climate Change Initiative (CCI) salinity. We find good agreement between the satellite products and in situ data with satellite-in situ mean differences (0.5-1.7 pss), root-mean-square differences (0.5-2.4 pss) and signal-to-noise ratios (1-3.8) generally decreasing at a faster rate from 40-100 km distance to the coast and remaining constant past 100 km. NASA OISSS, ESA CCI, 70 km REMSS SMAP and LOCEAN SMOS have minimum differences with in situ observations. Empirical orthogonal function (EOF) analysis shows that all the satellite and in situ SSS compare well in capturing modes-1 and 2 seasonal variability but have notable differences in the amplitude of the mode-3 semi-annual variability in coastal SSS. This study has implications for validation and improvement of satellite SSS and emphasizes the need for designing future satellite missions to better resolve the coastal salinity.
DOI: 10.48577/jpl.ygdolt
title: Non-destructive evaluation of bulk metallic glass components using Resonance Ultrasound Spectroscopy

description: Bulk Metallic Glasses (BMGs) are becoming prevalent as specialty components in aerospace, energy, and medical technologies, and hold long-term potential as consumer good components. When manufacturing BMG components by solidification and thermoplastic forming, however, even small deviations from optimal processing conditions can alter the structural glass state, promote crystallization, and induce geometric flaws. Established techniques to evaluate the integrity of BMG components are often expensive, time-consuming, and destructive in nature. In this study, we employ Resonance Ultrasound Spectroscopy (RUS) as an inexpensive, fast, and non-destructive alternative to accurately measure the elastic properties of BMG components and thus estimate their fictive temperature. Further, RUS can detect crystallinity and geometric flaws. These capabilities are demonstrated even for complex component geometries, based on a BMG planet gear here.
DOI: 10.15468/dl.uacnq8
title: Occurrence Download

description: A dataset containing 244707 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chelonia mydas (Linnaeus, 1758)"
 ]
}

 The dataset includes 244707 records from 484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000198-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4g4w7j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-88.9690309000000070 39.8552321000000020, -88.9690309000000070 39.8562958400000014, -88.9690309000000070 39.8569340800000020, -88.9690309000000070 39.8578914400000031, -88.9690309000000070 39.8590083599999971, -88.9690309000000070 39.8597529800000032, -88.9690309000000070 39.8608698999999973, -88.9679660999999982 39.8608698999999973, -88.9670610200000027 39.8608698999999973, -88.9658897399999944 39.8608698999999973, -88.9651443799999981 39.8608698999999973, -88.9637069000000054 39.8608698999999973, -88.9637069000000054 39.8597529800000032, -88.9637069000000054 39.8589551800000024, -88.9637069000000054 39.8582105600000034, -88.9637069000000054 39.8573063799999971, -88.9637069000000054 39.8564022099999988, -88.9637069000000054 39.8552321000000020, -88.9650911399999984 39.8552321000000020, -88.9664753800000057 39.8552321000000020, -88.9674869400000006 39.8552321000000020, -88.9690309000000070 39.8552321000000020))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087655-220831081235567/datasets/export for details.
DOI: 10.15468/dl.msytmx
title: Occurrence Download

description: A dataset containing 99941 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cepaea nemoralis (Linnaeus, 1758)"
 ]
}

 The dataset includes 99941 records from 688 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044717-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36qjyq
title: Occurrence Download

description: A dataset containing 505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paeonia delavayi Franch.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 505 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076358-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.